Data Engineer
Arlington, VA
Stand Together
Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems.We are seeking a Data Engineer to join our growing analytics and data operations team. This role is ideal for someone with a solid foundation in data engineering who is ready to take on more complex challenges in data architecture, pipeline optimization, and cross-functional collaboration. You’ll work closely with software developers, analysts, and product teams to ensure robust, scalable, and secure data systems.
Our data environment is diverse and evolving, with a growing number of sources and moderate complexity. While the overall data volume is manageable, the variety and integration needs require thoughtful engineering. Experience working toward a total view of the customer—such as building a 360-degree customer profile across multiple data sources—is a strong plus, as is familiarity with social media analytics (e.g., Facebook, YouTube, Instagram).This position is open to both HQ-based and remote candidates.
How You Will Contribute
- Build and maintain efficient, scalable data pipelines using SQL and AWS technologies.
- Integrate and transform data from diverse sources using tools like Fivetran, Hevo, or AWS Glue.
- Optimize data delivery and automate manual processes to improve operational efficiency.
- Collaborate with stakeholders to understand data needs and deliver actionable insights.
- Implement and monitor data quality, security, and performance standards.
- Support analytics and data science teams with tools and infrastructure for experimentation and reporting.
What You Will Bring
- 2–4 years of experience in a data engineering role.
- Proficiency in SQL and familiarity with NoSQL databases.
- Hands-on experience with cloud platforms (preferably AWS).
- Working knowledge of ETL tools and data warehouse platforms like Snowflake.
- Programming experience in Python or similar scripting languages.
- Understanding of performance optimization techniques (e.g., indexing, partitioning, caching).
- Awareness of security best practices in data handling and infrastructure.
- Experience building and maintaining CI/CD pipelines for data workflows using tools like GitHub Actions, Jenkins, or AWS CodePipeline.
- Familiarity with data modeling techniques and experience designing semantic layers to support BI and analytics tools.
- Experience designing and implementing data pipelines using medallion architecture (bronze, silver, gold layers) to support scalable and maintainable data systems.
- Ability to work independently and communicate effectively with technical and non-technical stakeholders.
What We Offer
- Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting, flexible time off, comprehensive health and dental plans, plus wellness and mental health support through Peloton and Talkspace.
- A meaningful career: Join a passionate community of over 1,300 employees dedicated to improving lives and driving innovative solutions to complex social challenges.
- Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover, develop and apply their unique talents.
- Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities, allowing you to share in the success you help drive.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS AWS Glue CI/CD DataOps Data pipelines Data quality Data warehouse Engineering ETL FiveTran GitHub Jenkins NoSQL Pipelines Python Security Snowflake SQL
Perks/benefits: 401(k) matching Competitive pay Flex hours Flex vacation Health care
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