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. Youll 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 customersuch as building a 360-degree customer profile across multiple data sourcesis 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
24 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.
A meaningful career: Join a passionate community of over 1300 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.
Our Values:Working at Stand Together is different from many other organizations. Our culture is deeply rooted in Principle Based Management (PBM) a framework guided by the principles that drive human progress such as dignity openness and bottom-up empowerment. PBM empowers our employees to be entrepreneurial to innovate and to continually drive transformation.
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