Data Engineer - Mid-Level (IRS / Treasury)

Praescient Analytics; Washington (District of Columbia); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Company-paid healthcare

401(k) with company match

Travel & performance incentives

3 weeks paid time off

$5K annual training allowance

$500 book allowance

Tuition reimbursement program

Job summary

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

Location: Hybrid / Washington DC Metro Area
Employment Type: Full-Time
Clearance: Ability to obtain IRS staff-like access / MBI Clearance

Position Overview

Praescient Analytics is seeking a Data Engineer, Mid to design, build, and optimize data pipelines and backend data systems supporting IRS Unified API services. This role plays a key part in integrating legacy systems with modern data platforms to ensure reliable, secure, and scalable data access. This position requires U.S. citizenship. The role will be hybrid with work locations in Washington, DC or Lanham, MD.

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines across diverse data sources
• Integrate data from legacy systems, modern databases, and data lakes
• Optimize data workflows for performance, reliability, and scalability
• Support data orchestration, versioning, and CI/CD processes
• Collaborate with application, analytics, and AI teams
• Ensure data quality, governance, and compliance standards are met

Required 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
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with Docker and Kubernetes
• US Citizenship and the ability to undergo an IRS Minimum Background Investigation (MBI).

Preferred Qualifications

• Experience with real-time or streaming data processing
• Knowledge of data governance, privacy, and compliance practices
• Experience supporting analytics or machine learning teams

Benefits

• Competitive salary based on qualifications and experience
• Comprehensive, company‑paid healthcare for you (we pay your premiums and deductibles)
• 401(k) with company match
• Travel & performance incentives
• 3 weeks paid time off (plus Federal Holidays)
• $5K annual training allowance
• $500 book allowance
• Tuition reimbursement program