What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.

Position Overview:

As a member of our Software Engineering team, the Software Engineer II, Data Engineering will play a key role in designing and maintaining the data infrastructure that powers the BrainOS platform. This role requires a solid foundation in data engineering concepts and technologies; with experience in building scalable data pipelines and ensuring the integrity and performance of data systems. The Software Engineer II, Data Engineering will work independently on mid-sized projects and collaborate with senior engineers to tackle larger initiatives.

Essential Job Functions:

• Design and Develop Data Pipelines: Implement robust, scalable pipelines for processing structured and unstructured data
• Data Architecture & Modeling: Contribute to the design of complex data models and optimize storage solutions in support of engineering and business objectives
• Optimize Performance and Scalability: Enhance the efficiency and scalability of data pipelines and storage systems by identifying bottlenecks, and configuring cluster resources
• Collaborate and Support: Collaborate with data analysts, data scientists, and other business teams to support data-related technical issues and support their data infrastructure needs
• Data Security & Compliance: Implement security best practices, including encryption and access control policies, while maintaining data integrity and compliance with quality standards
• Incident Management: Monitor and troubleshoot data pipeline failures and reliability issues

Education and/or Work Experience Requirements:

• BS or MS in Computer Science or applicable engineering discipline
• 2-5 years of proven software development experience, with at least 2 of those years focused on data engineering

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Proficiency in SQL as well as one or more programming languages (Python, Go, or TypeScript)
• Experience with data warehousing (BigQuery, Snowflake, Firestore, MySQL, PostgreSQL)
• Familiarity with stream processing frameworks (Apache Beam, Pub/Sub, Spark Streaming)
• Understanding of data governance, security, and compliance best practices
• Strong problem-solving skills and ability to work independently on projects
• Familiarity using Generative AI tools to enhance development workflows, such as code generation, data exploration, and documentation support
• Effective communication skills demonstrated by effective written and verbal communication; with an ability to articulate technical concepts to both technical and non-technical stakeholders

Things that make a difference:

• Experience with machine learning models and data science methodologies
• Experience with Google Cloud and their data ecosystem
• Familiarity with BI tools (e.g., Tableau, Power BI) and data frameworks (e.g., Hadoop, Spark)
• Experience with infrastructure as code (e.g., Terraform, Pulumi) and containerization and orchestration tools (e.g., Docker, Kubernetes)

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $130,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.

The Role

As Staff Data Engineer, you will provide senior onshore technical leadership for the data engineering team. You will own a defined slice of our centralized Databricks data platform with full accountability for decisions and delivery, serve as a technical counterpart to the Principal Data Platform Engineer, and drive architectural judgment and independent problem-solving as platform complexity scales post-migration.

This is a hands-on data engineering role focused on building and maintaining production pipelines, exercising architectural judgment on data modeling and pipeline design, and serving as the onshore escalation point and institutional knowledge backup for platform decisions.

The Business Challenge

We operate multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning), each with distinct databases containing enterprise financial data—journal entries, general ledgers, and financial statements. Our immediate challenge is migrating multi-terabyte datasets from legacy systems to a unified Databricks lakehouse while establishing governance patterns that enable multi-product operations at scale. As the platform matures, the data engineering team needs senior onshore technical presence to drive architecture ownership and maintain platform quality.

What You'll Build

• Production Data Pipelines: Build and maintain production data pipelines within the patterns and governance established by the Lead Data Platform Engineer, ensuring reliability and performance at multi-terabyte scale.
• Data Modeling & Architecture: Exercise architectural judgment on data modeling, pipeline design, and platform usage—translating complex business requirements into scalable data solutions across our product portfolio.
• Stakeholder Engagement: Engage proactively with product and engineering stakeholders to translate requirements into data solutions, serving as the primary onshore technical point of contact for data engineering needs.
• Platform Quality: Drive platform quality through code reviews, testing practices, and engineering standards that ensure the team delivers reliable, maintainable data infrastructure.
• Knowledge & Continuity: Serve as onshore escalation point and institutional knowledge backup for platform decisions, reducing single-point-of-failure risk and building onshore technical depth as the platform scales.

Business Problems You'll Solve

• Multi-Product Data Delivery: Implement data pipelines that serve multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning) with distinct data requirements, ensuring each product gets the data it needs reliably and on schedule.
• Legacy Migration Execution: Lead pipeline implementation for migrating multi-terabyte datasets from legacy systems to Databricks, working within the architecture defined by the Lead Data Platform Engineer.
• Onshore Technical Leadership: Provide the senior judgment layer the current nearshore team cannot—owning problems end-to-end, making independent architectural decisions, and mentoring engineers to raise the quality bar across the team.
• Cross-Team Coordination: Bridge the gap between product teams and data infrastructure, translating business requirements into data solutions and ensuring the data platform delivers on product commitments.

Required Experience

Core Data Engineering

• SQL, Python, and PySpark—production pipeline implementation and performance optimization
• Databricks experience—Delta Lake, Workflows, and Databricks SQL; Unity Catalog familiarity preferred
• 5+ years in data engineering with demonstrated ability to own problems end-to-end without close direction
• Experience building and maintaining ETL/ELT pipelines at scale, including error handling, monitoring, and data quality validation
• Strong data modeling skills across structured and semi-structured data sources

Platform & Infrastructure

• AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions
• Infrastructure-as-code experience (Terraform preferred)
• Familiarity with data governance patterns (Unity Catalog, data lineage, access controls)

Technical Leadership

• Demonstrated ability to exercise independent architectural judgment—not just ticket execution
• Experience mentoring or guiding junior and mid-level data engineers
• Strong written and verbal communication—able to document architecture decisions and engage directly with both technical and business stakeholders
• Onshore (US-based)—role requires timezone overlap, async-light communication, and direct stakeholder engagement

Preferred But Not Required

• Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms
• Background building pipelines that serve AI/ML workloads (preparing data for downstream ML consumption, RAG, and LLMs)
• Familiarity with data governance frameworks and compliance requirements for regulated industries
• Experience working alongside or transitioning from nearshore engineering teams

What We Offer

(The following only applies to US-based positions)

• A collaborative team culture with opportunities for career development.
• Ample opportunities to be recognized, build valuable skills, and grow your career.
• Generous vacation policy, including paid parental leave.
• Comprehensive health plans with FSA and HSA options.
• 401(k) retirement plan.
• Life and disability insurance coverage.
• Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program.

About Us

At Exactera, a FinTech SaaS start-up founded in 2016, we stand at the intersection of human and machine intelligence. Our corporate tax solutions are powered by AI and cloud-based technologies, serving customers worldwide. We are committed to diversity, inclusion, and equal opportunities for all.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience.
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

 About the Team:

Information processing and sense-making systems are the lifeblood of national security efforts, facilitating an understanding of the global situation, strategic planning, and tactical execution. The reliability, accessibility, and sophistication of these systems can determine the outcomes of conflicts before they begin. STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

This role will take advantage of STR’s flexible, hybrid environment – when the work does not require use of STR’s facilities, you are welcome to work remotely. You should expect to spend some portion of time every week (2-3 days) in STR’s facilities.  You can expect to support software applications deployed on classified operational networks that can only be accessed at STR or government facilities.  

The Role: 

As a DevOps Engineer in the Mission Applications Group, you will work as part of tightly knit Agile software teams to design and implement Continuous Integration/ Continuous Deployment (CI/CD) pipelines for various unique deployment environments.  

What you will do:

• Support cloud (e.g., AWS) toolsets in unclassified environments
• Configure and maintain multiple CI/CD environments at different classification levels, focusing on developer productivity, application performance, security monitoring, and alerting
• Liaision with corporate IT to ensure team infrastructure toolsets are configured, maintained, reliable, and in compliance with Department of Defense standards
• Coaching team members on DevOps best practices while continuously helping to improve processes 

Who You Are:  

• Active TS/SCI Security Clearance, for which U.S citizenship is required by the U.S government
• BS in Computer Science, Information Technology, or related technical field with 5-7+ years of relevant experience
• Experience with all relevant technologies including:
  • CI/CD tools (Gitlab) and pipeline automation
  • Cloud platforms (such as AWS, Azure, or Google Cloud), and automated provisioning tools (such as Ansible or Chef)
  • Containerization technologies such as Docker and Podman
  • Kubernetes management solutions such as EKS and Rancher
  • Experience deploying, and monitoring Kubernetes clusters and pod configurations
  • Basic knowledge of Linux System Administration
  • Knowledge of Python and Linux Shell
  • Knowledge of Cyber Security fundamentals 

• Organized, detail-oriented, and with an ability to work both independently and collaboratively
• Demonstrated experience as an effective communicator to both technical and non-technical audiences 

Even Better: 

• Advanced Degree in Computer Science, Information Technology, or related technical field 
• Experience in:
  • Full web-service stack, including databases, logging, and monitoring
  • Project tracking tools such as Jira
  • Designing, deploying, and monitoring Kubernetes clusters
  • GitOps tools like ArgoCD or Flux
  • Deploying and maintaining artifact repositories (such as Nexus, Artifactory)
  • Deploying and configuring static and dynamic code analysis tools (such as SonarQube, Coverity)
  • Platforms such as ArgoCD, Flux or TerraForm
  • Leading teams in an Agile/SCRUM software development process
  • Current Security+ Certification 

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

This is a full-time, in-office position based out of Rockstar’s newly renovated game development studio in Andover, MA.

WHAT WE DO

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BB1

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

This is a full-time, in-office position based out of Rockstar’s new state-of-the-art game development studio in Carlsbad, CA.

WHAT WE DO

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BB1

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

WHAT WE DO

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BB1