The work: 

• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 

• Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 

• Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 

• Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 

• Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 

• Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 

• Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here’s what you need: 

• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 

• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 
• Experience with Python, SQL, Spark, and PySpark 

• Experience with data platforms like Databricks, Palantir, and Snowflake 
• Familiarity with data orchestration and data quality processes 
• Must be a US Citizen

Bonus points if you have: 

• Secret clearance or above 

• Experience working with federal clients 

• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

• Experience with Agile / Scrum

• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

About Okta

Okta is the leading independent identity partner, securely connecting the right people to the right technologies at the right time. With over 20,000 customers and a billion registered users, we provide the foundation for secure enterprise management and seamless user experiences. As a trusted U.S. Federal vendor, we maintain FedRAMP High and IL4 compliance to support the government’s most critical missions.

The Core IDaaS SRE Team

Our team spans the globe and Okta’s platform to build, deliver, and maintain Okta’s legendary resiliency and reliability. We’re the SME’s for a vast number of synchronous and asynchronous workloads, data stores, and deployments, running the majority of our customer-facing Identity-as-a-Service platform. You’ll act as an advocate for reliability and a guide for global scale, ensuring our product is always available, always secure, and Always On.

The Role

We are seeking a Staff Site Reliability Engineer (TS/SCI) to join our high-stakes National Security team. Based in the Washington, D.C. area, with on-site customer travel, you will serve as a technical leader, delivering secure, air-gapped solutions for our federal partners.

Security Requirement: Must be able to obtain and maintain a U.S. security clearance (Secret or Top Secret) to the extent required by U.S. Government contracts. 

The selected candidate may be subject to drug testing to the extent required by U.S. Government contracts.

What You’ll Do

• Cloud & Air-Gapped Infrastructure: Design and deliver AWS-based projects, primarily writing Terraform, Helm, and Go, and adapting our existing deployments for secure federal air-gapped environments.
• Incident Management: Respond and remediate production incidents, performing deep-dive troubleshooting, driving rapid response, and implementing permanent preventive solutions.
• Engineering Standards: Drive high-quality code and operational rigor through design reviews, code reviews, attention to detail, and deep technical expertise.
• Technical Leadership: Mentor junior engineers and collaborate with cross-functional teams across the organization to deliver secure, enterprise-grade solutions.

What You’ll Bring

Core Qualifications

• Security Clearance: Active U.S. TS/SCI clearance.
• Compliance Expertise: Proven experience navigating Federal and DoD compliance frameworks, specifically FedRAMP and Impact Level 6 (IL6).
• Domain Authority: Deep expertise in architecting, deploying, and optimizing software within federal air-gapped environments.
• Education: Bachelor’s degree in Computer Science or a related technical field (Master’s degree preferred).

Technical Expertise

• Site Reliability Engineering: 6+ years of professional experience running production cloud workloads at scale. 4+ years of experience developing and troubleshooting web services on Kubernetes or similar orchestration layers.
• Broad Database Knowledge: Significant hands-on experience with both relational and non-relational datastores.
• Interactive and Batch Workloads: Demonstrated success delivering and maintaining both customer-facing interactive workloads and large-scale batch processing – ideally using data warehouse products such as Snowflake, Redshift, or Databricks.
• Security & Engineering: Strong foundational knowledge of network security (authentication/authorization) and a commitment to rigorous software engineering best practices.

Industry Experience: Prior experience supporting or building mission-critical Enterprise SaaS platforms.

#LI-TM 

#LI-Hybrid 

P24512

SMX is seeking an experienced Senior Data Engineer to support the Federal Bureau of Investigation (FBI) Business Strategy and Analytics Section (BSAS) Human Resources Reports program. This role will design and implement enterprise data architecture solutions that support advanced analytics, reporting, and data science initiatives across the FBI’s human capital ecosystem. The Senior Data Architect will work closely with data engineers, developers, and business stakeholders to integrate data from multiple enterprise systems, develop scalable data models, and enable high-impact analytics solutions that inform workforce planning, hiring, and mission support decisions. This position will support the modernization and continued development of the FBI’s enterprise HR analytics platform operating in AWS cloud environments. The ideal candidate will have deep experience with enterprise data architecture, cloud-based data warehousing, ETL orchestration, and business intelligence platforms. This individual will play a key role in designing scalable data solutions, enabling predictive analytics capabilities, and ensuring secure, efficient access to enterprise data across classified and unclassified environments. This is a full-time position requiring on-site work four days a week at a client’s office in Washington, D.C. An active Top-Secret clearance is mandatory.

Essential Duties and Responsibilities:  

• Design and maintain enterprise logical and physical data models supporting large-scale analytics platforms.
• Architect and optimize data warehouse solutions using AWS cloud technologies such as Redshift and related services.
• Design and implement scalable data pipelines using SQL, Python, Apache Airflow, and related orchestration tools.
• Integrate data from multiple enterprise systems including HR, training, financial, and operational platforms.
• Define and enforce enterprise data governance, security, and data management standards.
• Collaborate with development and analytics teams to translate business requirements into technical data architecture solutions.
• Support enterprise analytics platforms including Business Intelligence tools such as MicroStrategy and ThoughtSpot.
• Ensure data architectures support advanced analytics and predictive modeling initiatives.
• Develop strategies to improve data quality, performance, scalability, and accessibility across the data ecosystem.
• Support system integration activities and maintain interfaces across multiple FBI enterprise systems.
• Assist with architecture design supporting both classified and unclassified environments.
• Participate in Agile development activities including sprint planning, backlog refinement, and technical design discussions.
• Provide technical leadership and architectural guidance to data engineers, developers, and analysts.
• Assist with documentation including system design documents, data models, and architecture diagrams.

Required Skills:  

• 10+ years of experience in data architecture, data engineering, or enterprise data platform design.
• Extensive experience with data warehousing architectures and enterprise data modeling.
• Strong experience with SQL and large-scale relational databases.
• Experience with AWS cloud services, particularly Redshift or similar data warehouse technologies.
• Experience designing and managing ETL / ELT pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies.
• Experience integrating data across multiple enterprise systems and APIs.
• Experience with Business Intelligence platforms such as MicroStrategy, ThoughtSpot, Tableau, or Power BI.
• Strong understanding of data governance, security, and access control models.
• Experience working in Agile development environments.
• Ability to translate complex business requirements into scalable technical data solutions.
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
• Active Top Secret clearance.

Desired Skills/Experience:

• Experience supporting federal government enterprise analytics platforms.
• Experience working with HR or human capital data systems such as PeopleSoft or similar platforms.
• Experience working with sensitive or regulated datasets (PII, security clearance data, etc.).
• Experience supporting predictive analytics or data science initiatives.
• Experience with data architecture supporting enterprise BI ecosystems.
• Experience supporting systems operating in multiple security enclaves.
• Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related technical field.

   **This position requires four days a week on site at customer location in Washington DC. **

Application Deadline: 5-29-2026

#LI-SA
#cjpost

What You'll Do

We are seeking a Lead Actuarial Analyst, MA Risk Adjustment to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and use your 3+ actuarial exam progress to help translate complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. (This position is internally titled Lead Analyst, Risk Adjustment Analytics). 

Essential Functions 

• Translate RA performance data into clear financial insights (i.e. revenue impact, payment accuracy, ROI, forecasting). 
• Analyze CMS data to identify areas of opportunity to increase operational efficiency. 
• Interpret trends, model scenarios, and assess program and policy impacts. 
• Enable data-driven decisions by linking operational performance to enterprise financial outcomes. 
• Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls. 
• Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i.e. staffing, tech, etc.). 
• Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted. 

Who You Are 

• A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity. 
• Able to manage a high volume of recurring and ad hoc deliverables without compromising quality. 
• Comfortable navigating ambiguity and bringing structure to complex problems. 
• An exceptional communicator who can translate technical findings into actionable business recommendations. 

Qualifications 

• 4+ years of experience in risk adjustment analytics. 
• 4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data. 
• 3+ actuarial exams passed. 
• High degree of proficiency in Microsoft Excel and SQL.  
• Experience with PBI, Redshift, dbt docs is a plus. 
• Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance). 

Annual Salary Range: $99,000 - $124,000. This position is also eligible for a target annual bonus of 10%

SMX is seeking a Mid-Level Cloud Architect to support a federal law enforcement HR data analytics program. This role is responsible for designing, implementing, and maintaining secure cloud-based solutions that enable data analytics, reporting, and application modernization. The ideal candidate has strong AWS experience and a proven background delivering cloud solutions in secure environments. This is a full-time position requiring on-site work four days per week at a client location in Washington, D.C.

This is a full-time position requiring on-site work four days a week at a client’s office in Washington, D.C. An active Top Secret clearance is mandatory.

Essential Duties and Responsibilities:  

• Support cloud architecture design and implementation across AWS environments.
• Provision, configure, and optimize cloud infrastructure and services.
• Manage cloud services including compute, storage, networking, and IAM.
• Partner with data engineers and developers to support data pipelines, analytics platforms, and applications.
• Support cloud migration and modernization efforts, including scalable and container-based deployments.
• Monitor system performance and troubleshoot cloud and infrastructure issues.
• Develop and maintain architecture documentation, diagrams, and operational procedures.
• Support logging, monitoring, and security best practices within the cloud environment.
• Contribute to ATO and compliance-related activities as needed.
• Work within Agile teams to deliver solutions aligned with mission priorities.

Required Skills:  

• Active Top Secret (TS) clearance.
• 7+ years of hands-on experience in cloud engineering, cloud architecture, or cloud infrastructure (AWS preferred).
• Demonstrated experience designing and supporting cloud-based systems in production environments.
• Experience with AWS core services (EC2, S3, VPC, IAM, RDS, etc.).
• Experience with cloud networking, security, and monitoring best practices.
• Familiarity with tools such as CloudWatch, Splunk, or similar platforms.
• Ability to troubleshoot across cloud, infrastructure, and application layers.
• Strong communication skills and ability to work with cross-functional teams.
• Experience working in Agile delivery environments.

Desired Skills/Experience:

• AWS certification (Solutions Architect, SysOps, Developer, etc.).
• Experience supporting federal government IT systems or contracts.
• Exposure to data platforms, data warehousing, or BI tools (Strategy, ThoughtSpot, Tableau, Power BI).
• Experience with SQL, Python, or AWS data services (e.g., Redshift).
• Familiarity with Kubernetes, EKS, containers, or cloud-native architectures.
• Experience supporting ATO processes or compliance documentation.
• Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation).
• Bachelor’s degree in a related field.

   **This position requires four days a week on site at customer location in Washington DC.

 Application deadline 6-5-2026

#LI-SA
#cjpost

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The work: 

• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
• Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
• Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
• Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
• Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
• Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
• Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here’s what you need: 

• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 

• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 

• Experience with Python, SQL, Spark, and PySpark 

• Experience with data platforms like Databricks, Palantir, and Snowflake 

• Familiarity with data orchestration and data quality processes 

Bonus points if you have:

• Experience working with federal clients 

• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

• Experience with Agile / Scrum 

• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

 Security Clearance:  

• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance

 #LI-DataAI

Compensation: $180,000-$210,000

Team and Position Details:

As a Data Warehouse Technical Architect with deep site reliability engineering (SRE) experience, you will be reporting to the Chief Technology Officer and will be dedicated to architectural excellence and technical leadership for Virtru's digital privacy products. The ideal candidate will have a natural passion for digital privacy, data architecture, and delivering exceptional technical solutions. You'll have the opportunity to work with and mentor a stellar team of passionate engineers who are collaborative, cohesive, and dedicated to producing high-quality results. We encourage curiosity and have a culture that encourages growth. As a Technical Architect on this team, you will be on the cutting edge of Zero-Trust - the future of data and service protection!

This is a player/coach role with primary focus on architecture, design, and technical health, while also contributing to critical technical implementations. You will partner closely with Engineering Managers and other technical architects to provide dedicated architecture and expertise to design, build, and operate our mission-critical data infrastructure at scale. 

As a Data Warehouse Technical Architect, your responsibilities will include:

Software Architecture & Design:

• Lead system design and architecture reviews for scaled data warehouses and engineer and designing and deploying web scale applications
• Deep experience in SRE and deploying application at scale to clouds. Strong foundation in SRE principles and practices
• Create and maintain architectural documentation, including authoring and reviewing ADRs (Architecture Decision Records), to ensure alignment with overall software architecture
• Data lakehouse design, data modeling, and integration patterns for deploy databases and data as a service, at scale
• Provide technical direction for scaling complex features and initiatives involving data storage, processing and deployments
• Familiarity with machine learning infrastructure and MLOps

Technical Health & Quality:

• Monitor and improve technical debt across all engineering teams, related to data storage, processing and site reliability
• Partner with Engineering Managers to define key technical health metrics and streamline technical onboarding processes
• Drive reliability, performance, and security best practices for data storage, processing and SRE
• Break down complex technical tasks into clear, manageable deliverables for the team
• Ensure sustainable engineering practices and code quality standards
• Serve as a technical guide for team members, helping them understand data access and storage and deployment architecture, and development practices
• Ensure teams are delivering solutions to satisfy requirements while aligning to current and future architectural designs

Technical Leadership & Mentorship:

• Coach and mentor engineers on data storage, warehouse, processing, and SRE systems architecture, and best practices
• Lead by example through high-quality code contributions to critical or complex components
• Share knowledge of hyperscale data warehouse/lakehouses, data models, and emerging technologies with the team
• Assist SRE teams with improving stability, automation, and scalability
• Conduct code reviews with focus on architectural alignment and quality
• Support hiring processes and technical assessments for engineering candidates

Collaboration & Strategic Partnership:

• Partner with Engineering Managers through regular 1:1s and team planning sessions
• Collaborate with product management, UX, and other architects to design and deliver new software solutions
• Work with other Technical Architects to identify and resolve cross-team dependencies and technical challenges
• Ensure technical roadmap alignment with product and business priorities
• Participate in and contribute to platform-wide architectural initiatives

Execution:

• Take ownership of the entire lifecycle and toolchain of all data components from design through deployment
• Contribute to critical technical implementations, balancing hands-on coding with architectural responsibilities
• Work collaboratively in a fast-paced environment touching a variety of projects and products
• Build software that will meaningfully impact how people approach data privacy

Skills that will help you thrive in this role:

Technical Expertise:

• Strong  knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, or Synapse)
• Strong experience with lakehouse platforms (Databricks, Delta Lake, Apache Iceberg, or Hudi)
• Deep understanding of data modeling techniques (Kimball, Data Vault, or dimensional modeling)
• Experience with columnar storage formats (Parquet, ORC)
• Strong knowledge of batch and stream processing architectures
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar)
• Understanding of CDC (Change Data Capture) patterns and tools
• Strong foundation in SRE principles and practices
• Experience with infrastructure as code (Terraform, CloudFormation, or Pulumi)
• Proficiency in containerization and orchestration (Docker, Kubernetes)
• Knowledge of monitoring and observability tools (Datadog, Prometheus, Grafana, or similar)
• Experience with CI/CD pipelines and DevOps practices

Architectural & Leadership Skills:

• Demonstrated experience leading architectural design and technical direction for engineering teams
• Proven ability to influence without authority and drive technical decisions across teams
• Strong technical mentoring and coaching experience
• Experience creating architectural documentation, design documents, and technical specifications
• Track record of improving technical health metrics and reducing technical debt
• Experience with cross-team collaboration and dependency management

Education & Experience:

• Bachelor's degree in Computer Science, Engineering, or related technical discipline (or equivalent experience)
• At least 7 years of data warehouse, database, or data processing experience
• Proven experience in architectural or technical leadership roles

Communication & Collaboration:

• Excellent ability to communicate clearly and concisely, both verbally and in writing
• Strong presentation skills and ability to articulate complex technical concepts to diverse audiences
• Experience with stakeholder management and aligning technical decisions with business context
• Motivated by delivering customer value, team impact, and technical excellence

Preferred Qualifications:

• Experience architecting Microsoft 365 add-ins with focus on security, performance, and user experience
• Knowledge of data privacy, encryption, and zero-trust security models
• Familiarity with CI/CD pipelines and modern DevOps practices
• Contributions to open-source projects or technical community involvement

Virtruvian qualities that will set you up for success:

• Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence
• Strong sense of urgency with an action-oriented mindset
• Able to collaborate and adapt to shifting priorities as business needs evolve
• Comfortable with asynchronous communication including slack, email, zoom, etc.

Perks & Benefits:

At Virtru, we believe people do their best work when their wellbeing is put first. This is why we make your wellbeing our priority with a thoughtful and holistic program that encompasses Occupational, Mental, Social, Physical, and Environmental Wellness by offering benefits such as…

• A Flexible PTO policy — we strongly encourage you to take time off (in addition to 14 holidays) to ensure that you are getting the proper time needed to unplug and recharge. 
• A $1,500 annual Learning & Development Stipend focused on providing you the resources to continually learn and professionally grow.
• Frequent company-sponsored team celebrations that provide ample opportunities to connect with teammates and be social!
• Access to an Employee Assistance Program
• Access to Headspace, a mental health app tailored to your specific needs.
• A flat 3% contribution to your retirement account
• A high degree of flexibility — Have an appointment, errand, or family emergency to take care of? Hop to it! We give you the time and space to take care of you and your own first.

In addition to wellbeing, Virtru places a strong emphasis on diversity, equity, inclusion, and belonging. Our DE&I Council is dedicated to fostering an inclusive workplace and making the psychological safety of each and every one of our teammates a top priority. 

Additional perks include: 

• Competitive compensation
• Generous parental, medical, and bereavement policies
• Uncapped commissions for Sales roles
• 401K contribution and stock options
• Full medical, dental, and vision benefits
• New Hire Swag and IT Welcome boxes
• Structured semi-annual 360° performance reviews

Virtru is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. Virtru is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.

SMX is seeking a motivated and detail-oriented Data Analyst to join our team. This role focuses on creating and maintaining efficient data processing systems and pipelines to support strategic decision-making and business operations. The ideal candidate will work closely with cross-functional teams to deliver reliable and scalable back-end data solutions. This is a full-time position requiring on-site work four days a week at a client’s office in Washington, D.C. An active Top-Secret clearance is mandatory.

Key Responsibilities

•    Design, develop, and maintain data pipelines, integrating data from various sources to ensure reliable and efficient processing.
•    Implement ETL (Extract, Transform, Load) processes using tools such as Apache Airflow, AWS Glue, Informatica, or similar technologies.
•    Manage and optimize database operations, leveraging SQL and working with modern data warehousing platforms such as AWS Redshift.
•    Collaborate with data analysts and other stakeholders to understand data requirements and translate them into robust back-end solutions.
•    Create scalable and efficient data architectures, ensuring performance optimization and data integrity.
•    Conduct thorough testing and validation of data processes to maintain high data quality and reliability.
•    Troubleshoot and resolve data-related issues to ensure uninterrupted business operations.
•    Document data processes, workflows, and solutions for knowledge sharing and team collaboration.
•    Stay updated with emerging technologies and best practices in data engineering and development.

Required Qualifications

•   6+ years of data analysis experience
•    Proficiency in SQL and a strong understanding of database systems.
•    Experience with ETL and data orchestration tools such as Apache Airflow, AWS Glue, or Informatica.
•    Familiarity with cloud platforms and services, particularly AWS.
•    Knowledge of data warehousing and data integration techniques.
•    Strong understanding of data processing and performance optimization.

Preferred Qualifications

•  Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Business Analytics.
•  Experience with federal data modernization or analytics programs.

   **This position requires four days a week on site at customer location in Washington DC. **

 Application deadline 5-29-2026

#LI-SA
#cjpost

Data Scientist 

Location: Woodinville, WA

Details: Hybrid 

Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.   

We are looking for a versatile AI/ML Engineer who can lead, sell, design, and implement modern architecture for a diverse set of customers and industries. The ideal candidate would have deep experience in designing high-value advanced analytics solutions utilizing popular analytical frameworks running on Azure, GCP, and AWS. This position will be responsible for leading customer conversations, creating and presenting project architecture, and leading delivery.

Primary responsibilities include mentoring and leading other consultants, leading pre-sales workshops with finance and technology executives to uncover innovative ways to apply advanced analytics techniques to solve business problems in new ways. The role can be hands-on when necessary but should have Direct delivery experience to recommend technologies, solutions, and help troubleshoot.    

Responsibilities: 

• Drive growth through business development, resourcing, and quality delivery. 

• Monitor business impact and value generation of analytics projects. 

• Help create go-to-market strategies around advanced AI/ML Services and hardware. 

• This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals. 

• Create proposals and SOWs. 

• Work closely with sales and other practice leaders to recommend strategies to grow our data science services. 

• Manage full sales cycles, end-to-end, for high potential clients. 

• Evaluate business impact and priority initiatives for our portfolio of managed analytics customers.  

• Talent Leadership and Product Ownership. 

• Help with planning and staffing for data science projects. 

• Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations. 

• Train the data science team on best practices and new technology initiatives.  

• Anticipate the impact of new technologies and frameworks and help create compelling data science offerings to our clients. 

Skills you bring with you: 

• Knowledge of how to use data science/AI/ML techniques in operations to impact corporate financials.  

• Working knowledge of DevOps process (CI/CD) applied to data science and ML ops. 

Qualifications: 

• Bachelor’s or Master’s Degree in Advanced Math, Data Science, or Computer Science.  

• 5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies including but not limited to: 

• Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL.
  
  
• Azure ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake
  
  
• ELT/ELT/Pipeline Design, Data Modeling, Spark, Airflow/DBT and API Integration Patterns

Nice to have: 

• LLM’s, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns 

The base salary range for this full-time position in the US is $130,000 - $140,000 annually + bonuses + benefits.  Redapt salary ranges are determined by role, level, and location.  The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.  Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience.  Please note that the compensation details listed in the US role postings reflect the base salary only, and do not include bonuses or benefits. 

Equal Employment Opportunity: 

Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need. 

#LI-TS1

Data Engineer

Location: Woodinville, WA

Details: Able to come 4 days onsite 

Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.   

We are looking for an experienced Data Engineer who can design and implement modern architectures for a diverse set of customers and industries.  This is a mid-level position and requires a candidate with deep experience in designing and building data solutions using technologies implemented on AWS, Azure, and on-premises.  The Data Engineer will own all aspects of solution development.  The ideal candidate will have deep experience in Azure Synapse, Azure Data Factory and data processing engines.  The position is also responsible for ensuring that the solution is tested and documented to ensure a successful hand-off to clients. 

Responsibilities: 

• Interfacing directly with clients to solve broad business goals with database solutions. 

• You will be responsible for gathering requirements, designing solutions, along with overseeing the development and execution of projects.  

• This role will be directly involved in the business development process; specifically delivering customer demos to show how data can drive business goals.  

• Be able to build pilot solutions and proof of concept with minimal direction. 

• Provide support to project manager through developing tasks, estimates, and dependencies to meet expectations.  

Skills you bring with you: 

• Expert knowledge of Azure, Data Factory, and Synapse Pipelines. 
  
  
• Expert knowledge of AWS, AWS Glue, Redshift, and Athena pipelines.
  
  
• Rest API’s (building/integration, file-based integrations, change data capture, message ques/event-driven integration.

• Ability to troubleshoot and performance tune complex TSQL queries.  

• Familiarity with source control, DevOps and CI/CD concepts in an AWS DevOps Azure DevOps or Github environment. 

• Ability to create and troubleshoot calculations in DAX and/or MDX. 

• Knowledge of open source and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, and Cosmos DB.
• Spark/Pystak, Delta Lake/Lakehouse concepts, Kafka or EventHub’s

• Proficient in distributed computing principles.  Familiar with key architectures including lambda and kappa architectures. 

• Adept at Transact SQL. Able to create along with understand complex DML queries, views, stored procedures, and functions.  

• Strong understanding of scripting/programming languages including one of the following. 

• R, Python, Scala, C# or PowerShell

• Hands-on experience deploying, configuring common Azure data services along with basic familiarity of Azure portal and ARM templates. 

Qualifications: 

• Bachelor’s degree in Computer Science, Electronics, Information Systems (related field) or equivalent experience.  
  
  
• 5-8+ years of experience with master data management, data quality and data governance concepts. 

• Experience in designing and building reports on SQL Server Reporting Services or Power BI using visualization best practices.  

• Experience with other cloud providers and data services such as AWS and GCP. 

• Experience in ingesting and performing advance analytics on data from multiple sources, including batch analytics, interactive analytics, real-time/streaming analytics.  

• Experience designing dimensional models using Kimball methodology and proficiency with data modeling tools. 

• Experience in designing and building robust ETL pipelines in one or more of the following technologies and tools: SSIS, ADF, Azure Databricks and Snowflake. 

The base salary range for this full-time position in the US is $115,000 - $140,000 annually + bonuses + benefits.  Redapt salary ranges are determined by role, level, and location.  The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.  Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience.  Please note that the compensation details listed in the US role postings reflect the base salary only, and do not include bonuses or benefits.  

Equal Employment Opportunity: 

Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need. 

#LI-TS1

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

Role

We are looking for a Senior Infrastructure Engineer to join our growing team where you will design and implement the infrastructure that powers the Peregrine platform.

As an engineering team, we believe empathy leads to better solutions. Seeing people use the product is a priority and helps us find the right answers. Engineers will have the opportunity to work closely with our team onsite to understand the diverse use cases Peregrine serves. We value strong ownership while fostering collaboration and continuous feedback.

As a Senior Infrastructure Engineer, you will leverage a variety of technologies to scale our platform, enabling secure connections to customer networks while managing terabytes of data. You will tackle a wide range of complex challenges, including:

• Building highly available and secure production systems
• Architecting scalable and secure network topologies
• Supporting the ingest engine for massive data processing
• Accelerating the entire engineering lifecycle

Our stack is constantly evolving but is built on AWS GovCloud, Kubernetes, Docker, Terraform, Pulumi, PostgreSQL, Redshift, Elasticsearch, and more.

About you

• Deep understanding of architecture and scaling for large-scale software systems
• Proven experience in building cloud-based network systems across diverse customer environments
• Extensive expertise in Platform Engineering, DevOps, or Site Reliability Engineering (SRE)
• Track record of successfully developing highly available and secure network systems for both production and customer environments
• Strong knowledge of platform, network, and data security, with experience in compliance controls and accreditations
• Solid foundation in database operations, with a strong preference for experience in PostgreSQL and Elasticsearch

What we look for

• 8+ years of experience building and maintaining complex infrastructure for web applications with strict uptime requirements
• Expertise in modern software development best practices, including deployments, CI/CD, data management, security, and distributed systems
• Extensive experience with AWS or other cloud platforms, leveraging containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in software engineering, particularly in Python, for developing APIs and automation tools.
• Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi
• Strong background in Linux system administration, with proficiency in Python, Bash, or other scripting languages for automation
• Deep understanding of CI/CD tools, including GitHub Actions, GitLab CI, and ArgoCD
• Located in Washington, D.C. and open to working in office

Salary Range: $170,000 - $250,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

The Company collects and uses Personal Information for human resources, employment, benefits administration, and business-related purposes.  To comply with our regulatory obligations under the California Consumer Privacy Act (“CCPA”), the Company is required to notify you of the Personal Information we collect.  To access our CCPA Policy including the categories of Personal Information we collect and the purposes for which we intend to use this information, please visit SEI's Privacy Policy.