Staff/Sr Staff Software Engineer, Data Engineering
New
E
Equilibrium EnergyEnergy Technology
Remote- US, Canada, and EuropeFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- AWSPythonSQLdbtDatabricksDistributed Systems
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- 7+ years of progressive experience in data or software engineering.
- Advanced programming skills in Python and SQL.
- Experience building globally distributed data systems and real-time pipelines.
- Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka.
- Strong knowledge of relational and NoSQL databases.
- Familiarity with data warehousing and cloud computing (Databricks and AWS preferred).
- Experience mentoring engineers and providing architectural direction.
- Strong analytical skills, with the ability to work with unstructured or ambiguous datasets.
- Experience with both OLTP and OLAP data processing systems.
Responsibilities
- Design and implement the long-term data architecture using modern technologies and frameworks.
- Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt.
- Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster.
- Design data models and schemas for cloud warehouse and relational databases.
- Optimize workflows for performance and cost efficiency.
- Drive large, cross-functional data initiatives.
- Partner with AI and engineering teams to ensure high-quality datasets.
- Collaborate with product managers, scientists, and engineers.
- Mentor other engineers in best practices.
- Support software testing cycle and resolve issues.
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