What We're Looking For
We are seeking a Data Engineer III to partner with stakeholders and clients to define problems, design robust data solutions, and deliver scalable, production-grade pipelines that power smarter decision-making. The ideal candidate is a curious, collaborative problem-solver who is comfortable working across the data lifecycle, from ingestion and modeling to transformation, orchestration, and deployment. They navigate ambiguity with sound engineering judgment.
This is a unique opportunity to join our technology team at an early stage. As one of the first members of a growing data and technology practice, this role requires a high degree of ownership, adaptability, and initiative. You'll help shape how we build and operate data infrastructure, establish reusable tools and standards, and foster a culture of learning, transparency, and continuous improvement.
Success in this role means delivering reliable, well-architected data systems that help teams trust and understand their data, reducing friction between raw data and actionable insight, and driving practical business impact over time.
What You'll Do:
- Leads the design and implementation of advanced data pipelines and architectures.
- Defines project scope, technical approach, and success metrics in collaboration with stakeholders.
- Develops scalable solutions using cloud-based tools and distributed computing platforms.
- Monitors pipeline performance and ensures reliability in production environments.
- Provides technical guidance and mentorship to junior engineers.
- Collaborates with data scientists and analysts to optimize data workflows.
- Contributes to the development of best practices and reusable assets.
- Performs other duties as assigned.
What You'll Need:
- Bachelor’s degree in Computer Science, Data Engineering, or related field and 5 years of related experience, or,
- Master’s degree in Computer Science, Data Engineering, or related field and 4 years of related experience, or,
- In lieu of education, 9 years of relevant experience.
What You'll Bring:
- Advanced proficiency in SQL, Python, and cloud data services.
- Experience with big data technologies (Spark, Hadoop, Kafka).
- Data pipeline orchestration (Airflow, Luigi).
- Data warehouse design and modeling (star/snowflake schema).
- Data quality frameworks (dbt, Great Expectations).
- Experience with data visualization tools (Tableau, Power BI).
What We Prefer:
- Hands-on experience building and operating production data pipelines across multiple cloud providers such as: AWS, Microsoft/Azure, and GCP. This includes orchestration and ETL\ELT as well as the broader data stack: object storage and lakehouse layers, processing and data governance.
- Experience in a start-up or early-stage environment as a flexible generalist. Comfortable wearing multiple hats, moving across the stack, and building from scratch amid ambiguity and minimal process, with the pragmatism to know when "good enough" beats "perfect."
- Experience delivering data solutions in a highly regulated industry such as government, healthcare, or financial services, with an understanding of the compliance, security, and data governance demands those environments require.
- Consulting or client-facing experience is a plus, ideally with comfort engaging directly with stakeholders, scoping problems, and delivering solutions across varied clients and contexts.
Additional Information
Click here for benefits information:
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Visa sponsorship is not available for this position.
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Locations:
Atlanta, GA
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