Data Engineer

Akumen, Inc.
United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Information Systems Information Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL) Python (Programming Language) Machine Learning Meta-Data Management SQL Databases
+7 more
Cloud Platform System Data Ingestion Apache Spark Information Technology AWS Data Analytics Data Pipelines Databricks

Requirements

  • Bachelors degree in Computer Science, Information Systems, Engineering, or related field.\n
  • Minimum of 5 years of professional experience in data engineering or data integration.\n
  • Hands-on experience building ETL/ELT pipelines using Python, SQL, or Scala.\n
  • Experience with cloud-based data platforms and big data environments.\n
  • Demonstrated experience with data ingestion, transformation, curation, and pipeline troubleshooting.\n, * Advanced degree in a related field.\n
  • Experience with Databricks, Apache Spark, and AWS data services.\n
  • Experience supporting analytics, reporting, or machine learning data environments.\n
  • Familiarity with data governance, data quality, and metadata management practices.\n
  • Relevant cloud or data engineering certifications.\n

Benefits & conditions

Akumen, Inc. delivers mission-focused technology, data, and cybersecurity services that help federal clients modernize operations, improve decision-making, and achieve measurable outcomes. Our goal is to provide secure, scalable, and innovative service delivery that aligns technical execution with client mission priorities.\n \n \nOverview\n \n Akumen is seeking a \nData Engineer to support development and sustainment of modern data platforms for a federal program. This role is responsible for building and maintaining data pipelines, integration processes, and cloud-based data solutions that support analytics, reporting, and mission operations. The position supports enterprise data movement, transformation, and curation activities across multiple environments.\n \n \nKey Responsibilities\n \n \n

  • Build and maintain scalable data pipelines for ingestion, transformation, and integration.\n
  • Support development of ETL/ELT workflows for data warehouses, data lakes, and analytics platforms.\n
  • Monitor and improve data quality, reliability, and performance across the data ecosystem.\n
  • Support cloud-based deployment, automation, and sustainment of production data systems.\n
  • Collaborate with architects, analysts, and developers to deliver data solutions aligned with mission needs.\n, Must possess an \nactive Secret security clearance or higher, or have the ability to obtain and maintain a Secret clearance or higher in accordance with contract requirements.\n \n Akumen, Inc. is an equal employment opportunity employer. All employment decisions are made based on qualifications, merit, and business needs, and without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We are committed to a respectful and inclusive workplace where all individuals have the opportunity to succeed. Akumen, Inc. maintains a drug-free workplace consistent with applicable local, state, and federal laws.\n \n PI284986615”, “hiringOrganization”: {“@type”: “Organization”, “name”: “Akumen, Inc.”}, “jobLocation”: {“address”: {“addressCountry”: “United States”, “streetAddress”: “Not specified”, “@type”: “PostalAddress”, “postalCode”: “20746”, “addressLocality”: “Camp Springs”, “addressRegion”: “Maryland - MD”}, “@type”: “Place”}, “industry”: “”, “identifier”: {“@type”: “PropertyValue”, “name”: “Akumen, Inc.”, “value”: “284986615”}, “baseSalary”: {“@type”: “MonetaryAmount”, “currency”: “USD”, “value”: {“@type”: “QuantitativeValue”, “value”: “Competitive”, “unitText”

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