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Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
About Us:
Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes.
Role overview
As an MLOps Engineer, you will design, build, and operate the infrastructure and tooling that power end-to-end ML workflows on AWS, including SageMaker, Bedrock, and Snowflake Cortex. You will partner closely with data scientists, ML engineers, and platform teams to ensure models are reliable, secure, and scalable in production.
Key responsibilities
- Design, implement, and maintain CI/CD pipelines for ML models and data workflows using AWS-native services and infrastructure-as-code.
- Operationalize models built on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and monitoring.
- Build and manage data pipelines and feature stores using services such as AWS Glue, Lambda, Step Functions, and Snowflake.
- Implement observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and establish SLOs/SLAs for production ML services.
- Automate environment provisioning, configuration, and dependency management across dev, test, and production.
- Partner with security and compliance teams to ensure ML workloads meet healthcare, privacy, and regulatory standards (e.g., HIPAA).
- Collaborate with ML engineers and data scientists to productionize notebooks and prototypes into robust, maintainable services.
- Contribute to best practices, standards, and documentation for ML platform and operations across the organization.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 4+ years of experience in software engineering, data engineering, or ML engineering with at least 2+ years focused on MLOps or ML platform work.
- Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit-learn, TensorFlow, PyTorch) into production workflows.
- Hands-on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue.
- Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake.
- Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure-as-code (e.g., Terraform, CloudFormation, CDK).
- Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus.
- Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability.
- Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7).
Soft skills and benefits
- Excellent problem-solving and analytical skills with a focus on reliability and automation.
- Strong communication and collaboration abilities, including working cross-functionally with engineering, data science, and product teams.
- Ability to work independently in a fast-paced environment
- Competitive salary and benefits package.
- Opportunity to work on impactful ML platforms that improve healthcare outcomes.
- Collaborative, innovative environment with professional development and growth opportunities.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Senior Software Development Engineer L4 is expected to successfully work through complex tasks independently, understand the intricacies of the software development life cycle, and display strong adherence to fundamental software engineering principles in the production of software. This position possesses a deep understanding of the computer’s architectural design and other issues like testing and scalability of software products.
- Duties and Responsibilities:
1. Collaborate with global, cross-functional teams to design, build, and operate innovative platforms ensuring quality across the SDLC.
2. Analyze complex functional and non-functional requirements (FR/NFR) and define comprehensive test strategies, plans, and objectives.
3. Develop and maintain manual and automated test cases for web, API, and backend systems using tools like Selenium and Playwright.
4. Perform end-to-end testing including Functional, Regression, Integration, System, UAT, and ensure data validation across SQL/Snowflake databases and stored procedures.
5. Implement automation frameworks and integrate tests into CI/CD pipelines to improve efficiency and coverage
6. Conduct API testing and performance/load testing using JMeter, analyzing results to optimize system scalability and stability.
7. Test applications deployed on AWS/Azure environments, validating compatibility, scalability, and security in cloud-based architectures.
8. Identify, document, and track defects using tools like Azure DevOps, and collaborate with development teams to resolve issues.
9. Ensure compliance with QA standards, best practices, and security guidelines, maintaining clear documentation and reporting on test coverage and results.
10. Mentor junior QA engineers, enforce best practices, and contribute to process improvements and test automation strategies.
11. Troubleshoot complex system-level issues, drive root cause analysis, and recommend solutions for performance and reliability.
12. Stay current with emerging QA tools, technologies, and methodologies, applying Agile principles to deliver continuous value and scalability.
Job Requirements:
1. Minimum 6–10 years of hands-on experience in Software Quality Assurance (QA) for enterprise-level applications.
2. Strong proficiency in Selenium and Playwright for automated UI and functional testing.
3. Ability to implement automated UI and API tests and integrate them into CI/CD pipelines.
4. Deep experience in API testing using industry-standard tools and frameworks.
5. Solid experience testing Angular and Aurelia applications
6. Advanced knowledge of SQL, Snowflake, and stored procedures.
7. Ability to validate data integrity and execute complex queries for backend testing.
8. Hands-on experience testing applications deployed on AWS and Azure environments.
9. Proficiency in JMeter for performance and load testing, including analysis and optimization.
10. Ability to analyze complex functional and non-functional requirements (FR/NFR).
11. Define comprehensive test strategies, develop and maintain test plans, test cases, and automation scripts.
12. Expertise in Functional, Regression, Integration, System, and User Acceptance Testing (UAT).
13. Strong ability to work closely with developers, product managers, and business analysts to ensure quality throughout the SDLC.
14. Proven experience mentoring junior QA engineers and enforcing best practices.
15. Familiarity with CI/CD tools, Agile methodologies, and QA best practices.
16. Strong problem-solving and analytical skills with attention to detail.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
- Master's degree or PhD in Computer Science, a related technical field, or equivalent practical experience preferred.
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Senior Analyst - Data Scientist
Position Summary
As an Inizio Ignite Senior Analyst you will be a core member of client engagement teams, leading sophisticated analytics workstreams and owning the development of high-impact analytical deliverables. You will apply advanced analytical, coding, and modelling skills to solve complex business problems for life sciences clients, while contributing to methodological best practices across the data analytics team.
A significant portion of this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making.
In this role, you will work closely with case team leadership to design and execute analytics approaches, translate ambiguous business questions into structured analytical plans, and communicate insights clearly to both internal stakeholders and clients.
Desired Skills and Experience
The ideal candidate for the Senior Analyst position is a highly motivated, analytically rigorous individual with strong ownership mentality, excellent communication skills, and the ability to operate independently in a fast-paced consulting environment.
- Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.)
- Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree
- Demonstrated expertise in processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills (e.g., Power Query, VBA) a plus, with experience applying these skills to commercial analytics use cases such as marketing performance, sales effectiveness, patient journeys, and market dynamics
- Strong foundation in statistical analysis and machine learning, including hypothesis testing, supervised and unsupervised learning, and model evaluation
- Experience working with cloud-based data and analytics environments (e.g., AWS, Azure, Snowflake)
- Proficiency in business intelligence, dashboarding, and data visualization using tools such as Tableau, Power BI, or Qlik Sense, with the ability to translate analytical results into clear, decision-ready insights
- Experience working with real-world healthcare and life sciences datasets (e.g., claims, EHR, lab, provider, Rx, and payer data; sources such as Komodo, IQVIA, Symphony, Truven, Optum, Flatiron), particularly in commercial and market-facing analytics contexts; familiarity with omnichannel commercial analytics (e.g., HCP engagement, marketing mix, channel performance) is a plus
- Ability to independently structure analyses, manage multiple priorities, and deliver high-quality work under tight timelines
- Strong written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical audiences
- Experience working effectively as part of hybrid teams across multiple geographies, demonstrating strong collaboration, adaptability, and comfort operating in a global consulting environment
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Ready to apply?
Apply to Inizio Ignite | Putnam
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role
We are looking for a Lead – Data, RevOps to drive data-backed decision-making across our GTM and Revenue Operations teams.
This role sits at the intersection of data and business and requires someone who comes with a builder mindset to any problem statement thrown at them and scales, maintains and improves these new and existing systems
You will work closely with the growth team leadership and cross-functional teams to ensure that data is insightful, accurate, accessible, and actionable.
Roles & Responsibilities
- Own and manage business-critical data across Revenue, Operations, and GTM functions
- Design and build dashboards and reports using BI tools (e.g., Power BI) to enable real-time visibility into key metrics
- Analyze business performance across pipeline, revenue, and operational metrics to generate actionable insights
- Partner with cross-functional teams (Sales, Marketing, Customer Success, Finance) to support data-driven decision making
- Translate business problems into structured data analysis and scalable reporting solutions
- Automate recurring reporting and workflows using tools like Excel, SQL, and Python to improve efficiency
- Develop and maintain data models and ensure consistency across reporting systems
- Identify gaps in processes and recommend data-backed improvements to enhance operational efficiency
- Support planning and forecasting through data analysis and performance tracking
- Ensure data accuracy, hygiene, and governance across systems and dashboards
- Contribute to building scalable data infrastructure and improving accessibility of insights across teams
- Present insights and recommendations clearly to stakeholders, including leadership
- Lead and manage a team of data analysts, market research, and sales ops ICs
What We’re Looking For
Experience
- 4 - 8 years of experience in Data Analytics, Business Analytics, or Revenue Operations
- Prior experience working with Sales / GTM / Revenue teams is preferred
- Experience is leading a team of analysts is preferred
Technical Skills
- Strong proficiency in SQL
- Hands-on experience with Power BI (or similar BI tools) – Advanced level
- Strong working knowledge of Excel / Google Sheets
- Experience with Python for automation and data processing (preferred)
- Familiarity with data warehouses (e.g., BigQuery, Snowflake, Redshift)
Business & Analytical Skills
- Strong understanding of business metrics across pipeline, revenue, and operations
- Ability to convert ambiguous business problems into structured analysis
- Strong problem-solving and analytical thinking
Soft Skills & Mindset
- High ownership and accountability
- Ability to work in a fast-paced, cross-functional environment
- Strong communication skills, with the ability to work with senior stakeholders
Good to Have
- Experience in B2B SaaS or high-growth startup environments
- Exposure to CRM tools (e.g., HubSpot, Salesforce)
- Experience working on performance tracking, forecasting, or incentive reporting
#LI-PB1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability.
Duties and Responsibilities:
1. Work as part of a global, cross-functional team to build and operate innovative services/platforms for Inovalon applications.
2. Serve as a technical authority for complex projects and cross-team initiatives.
3. Own end-to-end architecture for large systems or multiple services; sets technical direction.
3. Define and enforce engineering best practices, coding standards, and architectural guidelines.
4. Lead design reviews and provide strategic input on system scalability and performance.
5. Collaborate effectively with cross-functional and partner teams to define project requirements.
6. Design, implement, test, deploy and maintain innovative software solutions to drive services optimization, cost, and security.
7. Write high quality distributed system software.
8. Mentor junior engineers and provide code reviews to ensure quality.
9. Shapes technical direction for the organization, drives innovation, and ensures scalability.
10. Apply Agile development principles to continuously deliver value and readily adapt to evolving requirements.
11. Maintain code integrity and organization, ensuring the highest level of performance for both front-end and back-end code.
12. Drive a results-oriented culture with a strong focus on engineering excellence, execution and propagate build for scale mindset.
Job Requirements:
1. Minimum 8-12 years in software development with demonstrated leadership in complex projects, leading design or architecture (design patterns, reliability, and scaling) of new or existing services/systems.
2. 8-12 years in data engineering or related roles.
3.***Advanced proficiency in Snowflake*** (data modeling, performance tuning, security), strong SQL skills for complex queries and optimization, and experience with ETL/ELT tools and data pipeline orchestration.
4. Optimize queries and data structures for high performance and scalability and implement best practices for data partitioning, clustering, and caching.
5. Integrate Snowflake with various data sources and BI tools
6. Define data strategy, ensure data integrity and performance across multiple systems.
7. Knowledge of Azure Data Services, Python, or Spark.
8. Familiarity with data warehousing best practices.
9. Experience with CI/CD for data pipelines.
10. Proficient in Java and Angular, AWS services and performance tuning techniques - design performance strategy for large-scale systems; mentors others on performance best practices.
11. Proven track record of leading technical teams and influencing architectural decisions. Lead multiple teams or initiatives, drive technical vision, and influences org-level decisions.
12. Partners with senior leadership, product strategy, and cross-functional teams to align technical roadmap.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Sr Big Data Engineer who expects more from their career. It’s chance to extend and improve dunnhumby’s Data Engineering Team. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.
Key Responsibilities
- Design end-to-end data solutions, including data lakes, data warehouses, ETL/ELT pipelines, APIs, and analytics platforms.
- Architect scalable and low-latency data pipelines using tools like Apache Kafka, Flink, or Spark Streaming to handle high-velocity data streams.
- Design /Orchestrate end-to-end automation using orchestration frameworks such as Apache Airflow to manage complex workflows and dependencies.
- Design intelligent systems that can detect anomalies, trigger alerts, and automatically reroute or restart processes to maintain data integrity and availability.
- Define and implement data governance, metadata management, and data quality standards.
- Lead architectural reviews and technical design sessions to guide solution development.
- Partner with business and IT teams to translate business needs into data architecture requirements.
- Ensure security, compliance, and regulatory requirements are addressed in all data solutions.
- Evaluate and recommend improvements to existing data architecture and processes.
Technical Expertise
- Bachelors or masters degree in computer science, Information Systems, Data Science, or related field.
- Extensive experience with high level programming languages - Python, Java or Scala
- 5+ years of experience in data architecture, data engineering, or a related field.
- Proficient in data pipeline tools such as Apache Spark, Kafka, Airflow, or similar.
- Experience with data governance frameworks and tools (e.g., Collibra, Alation, OpenMetadata).
- Strong knowledge of cloud platforms (Azure or Google Cloud), especially with cloud-native data services.
- Experience working in Agile or DevOps environments.
- Experience with modern data stack tools (e.g., dbt, Snowflake, Databricks).
- Experience with Hive, Oozie, Airflow, HBase, MapReduce, Spark along with working knowledge of Hadoop/Spark Toolsets.
- Extensive Experience working with Git and Process Automation
- In depth understanding of relational database management systems (RDBMS) and Data Flow Development.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
Job Summary
As a member of the Enterprise Reporting and Business Intelligence team, you will serve as a strategic bridge between data engineering and business end-users. You will play an end-to-end role in developing intuitive and interactive dashboards to empower GLG stakeholders to make informed, data-driven decisions. This position requires a proactive mindset to anticipate data gaps and needs as well as the ability to act as a connecting force within and across global teams.
Key Responsibilities
- Strategic Stakeholder Partnership: Develop a deep understanding of commercial, operational, and people data. Partner with key stakeholders to proactively anticipate data gaps and translate business questions into high-impact reporting and insights.
- Solution Engineering & Optimization: Master the existing suite of enterprise dashboards to drive adoption and cohesion. Proactively identify opportunities to enhance existing assets versus building net-new solutions to ensure a streamlined user experience.
- Cross-Functional Collaboration: Work closely with partners in Advanced Analytics, Product, Finance, Engineering, and Commercial Operations. Act as the glue between these teams, proactively surfacing opportunities and advocating for deeper partnership and involvement by specialist teams.
- Data Modeling & Strategy: Design and maintain effective LookML models and dashboards. Work closely with data engineers to integrate new data sources, improve data quality, and optimize data infrastructure to support long-term business goals.
- User Support, Empowerment, and Continuous Improvement: Facilitate the broad adoption of BI solutions by delivering training and proactive assistance, ensuring end-users are equipped to self-serve and derive value from data. Troubleshoot and resolve issues with dashboards and underlying databases while simultaneously documenting methodologies to ensure transparency and consistency across the enterprise.
Requirements
- Education: A bachelor's degree in a quantitative field such as Computer Science, Mathematics, or Statistics.
- SQL Experience: Minimum 3 years of experience working with relational databases and proficiency in SQL.
- BI Tool Proficiency: Solid working knowledge of one or more Enterprise Business Intelligence tools, specifically Looker, Tableau, QlikView, or Power BI.
- Communication: Strong written and verbal communication skills with the ability to translate between business and technical concepts.
- Technical Documentation: Strong ability to identify, define, and document business requirements, functionality, and systems.
- Autonomy: Proven ability to work autonomously with minimal supervision.
Preferred Qualifications
- Experience with Snowflake or similar cloud data warehouses.
- Proficiency in version control tools like GitHub.
- A passion for acting as a consultant to the business, identifying trends and opportunities that others might miss.
About GLG / Gerson Lehrman Group
GLG is the world’s leading platform for trusted human expertise. We connect global decision-makers—from hedge fund managers and private equity partners to strategy leaders at Fortune 500s—with the specific, authoritative voices required to answer their most critical questions.
At GLG, you are an extension of our clients' core teams. You will work at the intersection of industries and global markets, navigating high-stakes challenges across the full spectrum of their strategic initiatives. Operating within the industry’s most trusted research environment, you’ll help our clients capture the nuanced perspectives that drive smarter, faster business outcomes.
We are a global team of pragmatic problem-solvers who mirror the intensity of the markets we serve. If you are driven by intellectual curiosity and a bias toward action, join us in reinventing the industry we invented.
Gerson Lehrman Group, Inc. (“GLG”) is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, race, religion, color, marital status, disability, gender, national origin, sexual orientation, veteran status, or any classification protected by federal, state, or local law.
Ready to apply?
Apply to GLG
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Senior Systems Development Engineer L4 will focus on defining, implementing, and enforcing governance and standards for Inovalon’s commercial cloud platforms including AWS, Azure, GCP, OCI, and Snowflake. This role requires good understanding of cloud-based infrastructure, virtual machines, storage, networking, and security. This position will split time between developing commercial cloud governance and standards, defining and implementing platform-level features, developing infrastructure as code, and supporting application engineering teams with application design and implementation.
Duties and Responsibilities:
- Assumes responsibility for defining, implementing, and enforcing governance and standards for commercial cloud platforms including AWS, Azure, GCP, OCI, and Snowflake.
- Applies commercial cloud best practices to design, develop, and implement AWS, Azure, and GCP platform-level features.
- Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique cloud-based infrastructure, applications, and services.
- Collaborate with application engineering teams to create, monitor, and troubleshoot system infrastructure.
- Be an expert in service reliability, sustainability, and efficiency. Collaborate with product, application engineering, and security teams to ensure solutions realize non-functional requirements such as availability, performance, security, maintainability, and cost-efficiency.
- In depth knowledge of infrastructure deployment including knowledge of installation, configuration, troubleshooting of Servers, Storage, and Networking.
- Develop, gather, and leverage metrics to manage cloud-based infrastructure to drive automation, improvement, and performance.
- Windows and/or Linux installation and configuration knowhow and automation skills.
- Strong understanding about AD(Active Directory) , GPO (Group Policy Object), RDS(Remote Desktop Service)
- Implement backup and disaster recovery strategies
Job Requirements:
- Minimum of 5+ years experience as a Cloud Engineer, Site Reliability Engineering, or Systems Engineer.
- Extensive knowledge of existing industry standards, technologies, services, and infrastructure operations of cloud computing platforms such as AWS, Azure, GCP, OCI, or Snowflake.
- Extensive knowledge of infrastructure as code automation and continuous integration/delivery tools such as Azure DevOps, Azure Pipelines, Terraform, or similar.
- Extensive scripting experience with Terraform, Linux Shell, PowerShell, Python, or others.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
- Master's degree or PhD in Computer Science, a related technical field, or equivalent practical experience preferred.
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Your Impact
As the Product Manager, you will be the critical bridge between engineering, the Business Intelligence (BI) team, and product leadership. You will oversee the strategic direction of our Enterprise Data Warehouse (EDW), ensuring it serves as a robust foundation for product analytics and business-critical operations like financial reporting and customer success. Your primary mission is to drive the adoption of a data-driven culture by streamlining product operations and managing the change necessary to integrate data into every facet of the engineering and product lifecycle.
What You'll Do
- Strategic Data Leadership: Lead the Enterprise Data Warehouse (EDW) investment plan and data strategy to enable data-driven decision-making across the organization.
- Drive the Roadmap: Partner with the Gurugram engineering team to translate technical research into production-ready services and prioritize infrastructure roadmaps that unblock feature teams.
- Delivery Strategic Outcomes: Oversee the optimization of EDW operations, manage engineering queues, and coordinate critical initiatives like billing data integration.
- Stakeholder Advocacy & Change Management: Act as the "voice of the business" to drive wide-scale adoption of platform services and standardize analytics tools across PM teams.
Who You Are
- Data Strategy & Product Experience: 2–3 years of proven success driving enterprise data roadmaps. You possess the technical literacy to navigate APIs, EDW architectures, and product analytics with ease.
- Modern Data Stack Proficiency:
- Cloud Infrastructure: Experience with platforms like Snowflake, BigQuery, or Databricks, including a solid understanding of cloud cost optimization (FinOps).
- Governance & Compliance: Familiarity with data privacy regulations (GDPR, CCPA) or experience implementing data lineage and metadata management frameworks.
- Advanced Analytics: Hands-on experience with modern BI tools (e.g., Looker, Tableau, or Sigma) to help standardize the organization’s "analytics toolset."
- Stakeholder Management: A skilled navigator of complex relationships across Engineering, BI, and Executive leadership, with a talent for aligning overlapping scopes and shared goals.
- Operational Excellence: An expert at queue management and process definition, dedicated to improving the quality of engineering outputs through rigorous grooming and bug-catching.
- Strategic & Adaptive Thinking: The capability to redefine your role as business needs shift—specifically the ability to transition from a purely technical focus to a stakeholder-facing advocacy role.
Even Better If You Have...
- Legal Tech Domain Expertise: Prior experience working with e-discovery, legal hold software, or enterprise risk management platforms.
- Technical Certifications: Professional certifications in modern data platforms (e.g., Snowflake SnowPro Core, Google Cloud Professional Data Engineer, or Databricks Certified Associate).
- Software Engineering Background: A past life as a developer or data engineer, specifically working with Python, SQL, or Scala, to better partner with the engineering team.
- Customer Focus & Insight: Deeply understand user needs and pain points through research to guide product decisions.
- Strategic Clarity: Create and communicate clear direction aligned with business goals and measurable outcomes.
- Delivery of Top Priorities: Drive high-quality and timely delivery of the most important new products and experiences.
- Own the Outcome: Take full responsibility for achieving results and measurable impact from definition through iteration.
Perks of DISCO
- Open, inclusive, and fun environment
- Benefits, including medical and dental insurance
- Competitive salary plus discretionary bonus
- Opportunity to be a part of a startup that is revolutionizing the legal industry
- Growth opportunities throughout the company
About DISCO
DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Ready to apply?
Apply to DISCO
WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE:
We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs.
You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data.
WHAT YOU’LL DO:
- Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
- Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
- Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
- Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
- Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
- Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
- Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
- Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.
WHAT YOU’LL NEED:
- 6+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
- Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets.
- Experience designing A/B tests and experimentation frameworks to drive operational improvements.
- Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling.
- Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics.
- Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership.
- Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations.
- Strong problem-solving skills and a proactive mindset to identify business opportunities using data
Bonus Points If You Have:
- Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation).
- Familiarity with event-tracking frameworks and behavioral analytics.
- Strong data storytelling skills—can translate complex data into concise, compelling narratives.
- Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.
WHAT’S IN IT FOR YOU?
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
#LI-RS1
Ready to apply?
Apply to Zinnia
Senior Data Analyst (Operations Analytics)
WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE:
We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs.
You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data.
WHAT YOU’LL DO:
- Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
- Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
- Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
- Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
- Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
- Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
- Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
- Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.
WHAT YOU’LL NEED:
- 5+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
- Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets.
- Experience designing A/B tests and experimentation frameworks to drive operational improvements.
- Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling.
- Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics.
- Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership.
- Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations.
- Strong problem-solving skills and a proactive mindset to identify business opportunities using data
Bonus Points If You Have:
- Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation).
- Familiarity with event-tracking frameworks and behavioral analytics.
- Strong data storytelling skills—can translate complex data into concise, compelling narratives.
- Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.
WHAT’S IN IT FOR YOU?
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
#LI-RS1
Ready to apply?
Apply to Zinnia - Employee Referral
At Leapwork, we are at the center of the most important shift happening in enterprise software right now, with AI changing how software is built across every industry and every enterprise. We sit at this intersection, and what makes us different is the combination no one else brings: agentic, application agnostic, and deterministic by design across the full software delivery lifecycle.
We are trusted by some of the world's most respected brands across financial services, pharma, manufacturing, and retail. Our platform spans agentic AI orchestration and proven visual automation across every application estate. Our AI Your Way™ approach means we amplify what enterprises already have rather than replacing it, meeting them where they are and moving at the pace the business demands.
Backed by KKR, DN Capital, Salesforce Ventures, and Headline, we are scaling fast and the market opportunity in front of us is significant.
If you want to do the best work of your career at a company where the product is genuinely mission critical to our customers, we would love to talk. We are headquartered in Copenhagen, Denmark with offices in Boston, London, and Gurgaon and local presence across the United States, Europe, and Asia.
The role:
As a Data Governance Lead at Leapwork, you’ll help establish and scale the foundation of how data fuels smarter decisions across the business. Our data team is building the data architecture to unify, transform, and connect information from many sources into a unified data view. You’ll play a key role in developing governance structures, standards, and processes from the ground up, helping to shape greenfield data initiatives that define Leapwork’s data-driven future. By turning complexity into clarity, you’ll enable the whole organization to execute with greater speed, precision, and impact. Join us on our journey to become a fully data-driven, AI-powered organization.
Role Responsibilities:
- Develop and Implement Frameworks: Design and deploy enterprise-wide data governance frameworks, policies, and best practices.
- Ensure Data Quality and Integrity: Establish processes and metrics to monitor and improve data quality, consistency, and accuracy.
- Maintain Data Security and Compliance: Oversee data security measures and ensure adherence to internal and external regulatory compliance standards.
- Manage Data Accessibility and Usability: Develop and maintain data catalogs and governance tools (e.g., Microsoft Fabric, Azure Purview) to enhance visibility, accessibility, and trust in enterprise data assets.
- Strategic Leadership: Provide leadership and strategic direction for the data governance program, aligning it with organizational goals and ensuring it supports new data architecture and analytics capabilities.
- Stakeholder Collaboration: Work closely with IT, business units, and legal teams to drive data governance adoption and ensure alignment.
- Risk Mitigation: Identify and address data-related risks, including those related to compliance and security.
- Data Stewardship: Foster a culture of data stewardship, where individuals understand their roles in managing and protecting data.
- Reporting and Metrics: Develop dashboards and reports to provide oversight and insight into key data governance activities and metrics.
Role Requirements:
- Experience: 2 - 5 years of experience from a similar role. Experience working in environments where data functions are being established or scaled from scratch is highly valued.
- Strategic Vision: The ability to develop a long-term vision for data governance within the organization.
- Operational Expertise: Strong understanding of data management principles and practices.
- Technical Acumen: A good understanding of technical aspects related to data systems, databases, and data models — familiarity with modern data platforms such as Microsoft Fabric, Azure, or Snowflake is an advantage.
- Analytical Skills: Proficiency in data analytics to interpret raw data and provide actionable insights.
- Data Governance Knowledge: Deep understanding of data quality, stewardship, and management principles.
- Documentation Skills: Proven ability to define and maintain data definitions, lineage, and standards
- Stakeholder Collaboration: Experience partnering with technical and business teams to uphold governance practices.
- Organizational Influence: Strong communication and coordination skills to drive adoption of governance frameworks.
- Leadership: Ability to inspire cross-functional teams to adopt and embed governance practices.
- Initiative: Hands-on and proactive in defining standards, tools, and workflows where none exist yet.
- Communication: Strong written and verbal communication skills to articulate governance concepts to both technical and non-technical audiences.
- Innovation Mindset: Eager to explore new tools and methodologies that enhance governance in modern, cloud-based data ecosystems.
Why Leapwork?
We are on an exciting global growth journey, and this is your chance to jump on board and contribute to digital transformation initiatives at Leapwork. You’ll work alongside and learn from a talented and passionate team committed to both innovation and excellence.
By joining our team, you’ll be part of an international environment where you can grow, challenge yourself, and do what inspires you. We work hard but have fun while doing it.
Leapwork Principles:
Our three core principles capture the essence of what it means to be part of our world-class team! They are integral to how we approach our work and one another, and they serve as a roadmap to our continued growth, development, achievements, and success.
People First: Strong relationships with our customers, partners, and team are the foundation of our success. We win by listening, understanding, and offering empathy and respect to everyone we engage with. We are human and act humane.
Grow or Die: Standing still is not an option. We adapt to change and drive it forward. We challenge ourselves and others to keep learning, share ideas, and find new ways to grow the business.
Speed Matters: We act with intent and urgency. We cut complexity, seize opportunities, and deliver results fast.
Ready to apply?
Apply to LeapworkInovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level. This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.
Duties and Responsibilities:
- Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
- Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
- Document and estimate technical scope and design as needed;
- Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
- Involve and drive a culture of collaborative reviews of designs, code and test plans;
- Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
- DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
- Solve complex data issues and perform root cause analysis;
- Work across teams to resolve operational & performance issues;
- Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
- Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
- Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
- Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
- Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
- On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.
Job Requirements:
- Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
- Strong experience using managed services and Infrastructure as a service;
- Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
- Strong programming experience in Python and Java/Scala preferred;
- Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
- Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
- Strong familiarity with healthcare data formats including EDI and FHIR;
- Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
- Experience building microservices and event-based architectures;
- Experience with AWS Security Architecture including IAM, Security groups and policies;
- Hands on experience with Terraform and/or cloud formation;
- Experience building CI/CD pipelines in public cloud and creating a culture of automation;
- Experience leading and mentoring junior engineers;
- Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
- Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
- Prior Experience in migration of applications to AWS;
- Excellent oral and written communication skills;
- Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
- Extensive knowledge of existing industry standards, technologies, and operational norms;
- An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
- Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level. This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.
Duties and Responsibilities:
- Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
- Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
- Document and estimate technical scope and design as needed;
- Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
- Involve and drive a culture of collaborative reviews of designs, code and test plans;
- Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
- DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
- Solve complex data issues and perform root cause analysis;
- Work across teams to resolve operational & performance issues;
- Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
- Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
- Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
- Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
- Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
- On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.
Job Requirements:
- Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
- Strong experience using managed services and Infrastructure as a service;
- Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
- Strong programming experience in Python and Java/Scala preferred;
- Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
- Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
- Strong familiarity with healthcare data formats including EDI and FHIR;
- Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
- Experience building microservices and event-based architectures;
- Experience with AWS Security Architecture including IAM, Security groups and policies;
- Hands on experience with Terraform and/or cloud formation;
- Experience building CI/CD pipelines in public cloud and creating a culture of automation;
- Experience leading and mentoring junior engineers;
- Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
- Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
- Prior Experience in migration of applications to AWS;
- Excellent oral and written communication skills;
- Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
- Extensive knowledge of existing industry standards, technologies, and operational norms;
- An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
- Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Senior Software Development Engineer L4 is expected to successfully work through complex tasks independently, understand the intricacies of the software development life cycle, and display strong adherence to fundamental software engineering principles in the production of software. This position possesses a deep understanding of the computer’s architectural design and other issues like testing and scalability of software products.
- Duties and Responsibilities:
1. Work as part of a global, cross-functional team to build and operate innovative services/platforms for Inovalon applications.
2. Take ownership of problems and continuously strive to become a better problem solver.
3. Document technical solutions and articulate these solutions to architecture group and leadership.
4. Implements complex features and contributes to architecture decisions within a team ensuring scalability, security, and maintainability.
5. Collaborate effectively with cross-functional and partner teams to define project requirements.
6. Troubleshoot and resolve complex system level stability or scalability issues.
7. Design, implement, test, deploy and maintain innovative software solutions to drive services optimization, cost, and security.
8. Write high quality distributed system software.
9. Works closely with PMs, QA, and DevOps for delivery.
Mentor junior engineers and provide code reviews to ensure quality.
10. Apply Agile development principles to continuously deliver value and readily adapt to evolving requirements.
11. Maintain code integrity and organization, ensuring the highest level of performance for both front-end and back-end code.
12. Drive a results-oriented culture with a strong focus on engineering excellence, execution and propagate build for scale mindset.
Job Requirements:
1. Minimum 6-10 years’ experience in software development with demonstrated leadership in complex projects, leading design or architecture (design patterns, reliability, and scaling) of new or existing services/systems.
2. Strong proficiency in .NET, C#, Angular and Aurelia - build and maintain backend services using .NET, C# and frontend components using Angular and Aurelia
3. Hands-on experience with Azure services - deploy and manage applications on Azure, leveraging services like App Services, Storage Account/BLOB, Azure Automation, and SQL MI/Azure SQL Database.
4. Expertise in Snowflake and SQL (query optimization, schema design) - work with Snowflake and SQL databases for data modeling, ETL processes, and query optimization.
5. Hands-on experience with Selenium and/or Playwright for automated testing - implement automated UI and functional tests using Selenium and/or Playwright
6. Proficient in JMeter and performance tuning techniques - use JMeter and other tools to conduct performance testing, identify bottlenecks, and optimize system throughput.
7. Familiarity with CI/CD pipelines, IaaC/Terraform, Kubernetes, and Agile methodologies.
8. Familiarity with Containers and Kubernetes will be a plus.
9. Proven ability to lead technical initiatives and mentor team members.
10. Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
- Master's degree or PhD in Computer Science, a related technical field, or equivalent practical experience preferred.
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
SDE 3 - Platform
About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
As a SDE - 3 Platform Engineer at AiDASH, you’ll design, develop, and deploy scalable distributed systems that power our AI-driven platforms. You will build robust backend services, automated data pipelines, and analytical tools to deliver actionable insights for business-critical decisions. Partnering with product, data, and design teams, you’ll own solutions end-to-end — from system design to production deployment. Your expertise in microservices, Python, SQL/NoSQL, and cloud-native technologies (AWS, Docker, Kubernetes) will help evolve our architecture as we scale. Beyond coding, you’ll drive engineering excellence through code reviews, refactoring, and performance optimization, while mentoring peers and fostering reusable, reliable system design. If you thrive in solving complex challenges, love automation, and want to shape systems that make industries climate-resilient, this role is for you.
How you'll make an impact:
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Design, develop and deploy scalable distributed systems
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Build scalable backend systems to support internal workflows backed by automated pipelines and ML models
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Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
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Implement scalable and resilient distributed systems, ensuring fault tolerance and reliability
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Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
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Deploy code to production and engage in code reviews
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Refactor service to improve code quality, runtime efficiency and resource optimisation
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Build tools that improve engineering productivity
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Become in-house experts and provide consultation to product engineers to help them build scalable and reliable systems
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Evolve AiDASH architecture as we continue to scale
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Monitor, analyze, and optimize system performance and resource utilization
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Stay updated with the latest advancements in distributed systems technologies and methodologies
What we're looking for:
Technical Expertise
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6+ years of experience designing and building scalable, reusable platforms/components
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Strong in system design & microservices, distributed systems, and API development
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Solid foundation in data structures & algorithms
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Hands-on expertise in Python (backend, data workflows), Spark/Big Data, Airflow and Snowflake (Good to have)
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Strong with SQL/NoSQL (PostgreSQL, MySQL, MongoDB)
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Experienced in RESTful API design, development, and maintenance
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Proficient with cloud platforms (AWS), containers (Docker, Kubernetes)
Engineering Maturity
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Strong debugging and optimization skills — load testing, profiling, bottleneck resolution
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Familiar with backend security (encryption, authN/authZ, compliance)
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Experience in CI/CD, unit testing, code coverage, and ensuring production readiness
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Focus on scalability, reliability, and cost-efficient systems
Collaboration & Leadership
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Works well cross-functionally to build reusable platform capabilities
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Mentors peers, reviews with architectural thinking
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Can break down complex product requirements into platform abstractions
Mindset & Growth
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Thrives in fast-paced environments, balancing delivery with long-term vision
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Curious and open to exploring new tech (e.g., AI-powered workflows
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Bias for automation and building self-service, reusable solutions
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
Ready to apply?
Apply to AiDASH, Inc.