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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TTG-313 - Data & SW Engineer - $331,850 Total Compensation - **Company:** TTG Solutions Inc. - **Location:** McLean, VA, United States - **Salary:** $331,850.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Geographic Information Systems, Artificial Intelligence, Airflow, Amazon Web Services, Apache HTTP Server, Bash Shell, Big Data, Computer Programming, Continuous Integration, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Software Debugging, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Metadata Repositories, MySQL, NoSQL, NumPy, Operational Databases, Performance Tuning, PostGIS, Query Optimization, Azure Machine Learning, SQL Databases, Data Streaming, Strategies of Testing, Workflow Management Systems, Data Processing, Cloud Platform System, Large Language Models, Apache Spark, Git, Cloudformation, Pandas, Containerization, Pyspark, Infrastructure Automation Frameworks, Data Lineage, Terraform, Data Pipelines, Docker - **Published:** July 18, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9040490/ttg-313-data-sw-engineer-331850-total-compensation ## About the Role TTG Solutions is seeking a skilled Data & Software Engineer to join our team in building complex data flows for custom applications. This role is ideal for someone with advanced Python skills and experience in building and deploying production data pipelines at scale. In this role, you will work closely with stakeholders to understand data requirements, assess feasibility, and design solutions with minimal oversight. You will build end-to-end data pipelines, utilize orchestration tools for deployment, and containerize applications for cloud environments. Additional responsibilities include performance tuning of MySQL and PostgreSQL, leveraging code control tools, and engaging with data catalogs and lineage tracking. You will also solve data quality issues and contribute to engineering documentation and best practices. 3 years of unrelated experience = 1 year of related experience. Bachelors preferred. Master's degree = 1 year of additional related experience. 3 certifications and/or other applicable credentials = 1 year of additional related experience. Requirements: 8-11 years experience * Advanced Python programming skills including data manipulation libraries such as Pandas and NumPy * Experience building production data pipelines and ETL/EL workflows at scale * Proficiency with Apache Spark and PySpark * Understanding of data security, privacy, governance, and compliance principles * Experience with workflow orchestration tools like Step Functions or Airflow * Familiarity with containerization tools like Docker or Podman and deployment in AWS * Experience with PostgreSQL and MySQL, including performance tuning and schema design * Experience with SQL and query optimization for complex analytical workloads * Proficiency with version control using Git and CI/CD practices * Strong problem-solving and debugging skills for data quality issues and performance bottlenecks * Experience with data Lakehouse architecture using Apache Iceberg * Hands-on experience with data platform components such as Apache Ranger and Trino * Proficiency with Bash scripting for automation and data processing * Experience with Infrastructure as Code tools like Terraform or CloudFormation * Experience tracking data lineage with tools like OpenLineage * Familiarity with Java * Knowledge of data quality frameworks and validation strategies * Background in large-scale data migrations or platform modernization * Experience integrating AI/ML services and models, including LLMs and RAG pipelines * Familiarity with geospatial data processing tools like H3 or PostGIS * Experience with NoSQL databases such as DynamoDB This position requires an active Total compensation is the total combination of salary, benefits, retirement, bonuses, etc... and it is calculated using the following formula ## Related Videos - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Fullstack developer salary in Germany [2023]](https://www.wearedevelopers.com/magazine/197-fullstack-developer-salary-in-germany-2023) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023)