Praescient Analytics is seeking a Data Engineer, Mid, to design and optimize data pipelines for IRS Unified API services. This hybrid position, located in Washington, DC or Lanham, MD, requires U.S. citizenship. Candidates should have over 5 years of experience in data engineering, proficiency in SQL, and familiarity with tools like Apache Airflow and Spark. The role offers competitive salary, comprehensive healthcare, 401(k) with company match, and generous paid time off including $5K annual training allowance.
Qualifications
5+ years of experience in data engineering or backend data systems.
Proficiency in SQL and Python or Scala.
Experience with tools such as Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink.
Responsibilities
Design, build, and maintain ETL/ELT pipelines across diverse data sources.
Integrate data from legacy systems and modern databases.
Optimize data workflows for performance, reliability, and scalability.
Skills
5+ years of experience in data engineering
Proficiency in SQL
Proficiency in Python or Scala
Experience with Apache Airflow
Experience with Spark
Experience with data warehouses
Familiarity with cloud platforms
Experience with Docker
Experience with Kubernetes
Tools
Apache Airflow
Spark
dbt
Kafka
Databricks
Flink
Job description
Praescient Analytics is seeking a Data Engineer, Mid, to design and optimize data pipelines for IRS Unified API services. This hybrid position, located in Washington, DC or Lanham, MD, requires U.S. citizenship. Candidates should have over 5 years of experience in data engineering, proficiency in SQL, and familiarity with tools like Apache Airflow and Spark. The role offers competitive salary, comprehensive healthcare, 401(k) with company match, and generous paid time off including $5K annual training allowance.