ZipRecruiter

Log In

1

Prefect Technologies Jobs in Reston, VA (NOW HIRING)

SOSi

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology ... Experience with services including Apache Kafka, Apache Spark, and Prefect * Experience ...

SOSi

Senior Data Engineer

Chantilly, VA

$108K - $147K/yr

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology ... Experience with services including Apache Kafka, Apache Spark, and Prefect * Experience ...

SOSi

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology ... Experience with services including Apache Kafka, Apache Spark, and Prefect * Experience ...

Systech Federal

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop). * Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.

NewGen

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar About Us For more than 20 years, NewGen Technologies has solved our clients' toughest IT challenges with ...

previous pagenext page

Showing results 21-40

All JobsPrefect Technologies JobsPrefect Technologies Jobs in Reston, VA

Prefect Technologies information

What is the difference between Prefect Technologies vs Data Engineer?

AspectPrefect TechnologiesData Engineer
Primary RoleDevelops and manages data workflows and automation toolsDesigns, builds, and maintains data pipelines and infrastructure
Required SkillsPython, workflow orchestration, automationSQL, Python, ETL processes, data modeling
Work EnvironmentTech companies, startups, cloud-based platformsData teams, analytics departments, tech firms
CertificationsNone specific, technical proficiency preferredData-related certifications (e.g., AWS, Google Cloud) beneficial

Prefect Technologies focuses on developing workflow orchestration tools to automate data processes, while Data Engineers build and maintain the data pipelines and infrastructure. Both roles require technical skills like Python and data handling, but Prefect roles are more centered on workflow management, whereas Data Engineers focus on data architecture and pipeline creation.

What are popular job titles related to Prefect Technologies jobs in Reston, VA?

For Prefect Technologies jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Prefect Technologies jobs in Reston, VA look for?

The top searched job categories for Prefect Technologies jobs in Reston, VA are:

What cities near Reston, VA are hiring for Prefect Technologies jobs?

Cities near Reston, VA with the most Prefect Technologies job openings:

Prefect Technologies jobs near you
Infographic showing various Prefect Technologies job openings in Reston, VA as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, 5% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Sensitive-Data Engineer

Equilibrium Technologies LLC

Chantilly, VA • On-site

$190K - $245K/yr

Full-time

Re-posted 5 days ago

Job description

Description:

Active Top Secret/SCI Clearance with Polygraph (REQUIRED)


Are you passionate about harnessing data to solve some of the nation’s most critical challenges? Do you thrive on innovation, collaboration, and building resilient solutions in complex environments?


Join a high-impact team at the forefront of national security, where your work directly supports mission success. We're seeking a Data Engineer with a rare mix of curiosity, craftsmanship, and commitment to excellence. In this role, you’ll design and optimize secure, scalable data pipelines while working alongside elite engineers, mission partners, and data experts to unlock actionable insights from diverse datasets.

Requirements:
  • Engineer robust, secure, and scalable data pipelines using Apache Spark, Apache Hudi, AWS EMR, and Kubernetes
  • Maintain data provenance and access controls to ensure full lineage and auditability of mission-critical datasets
  • Clean, transform, and condition data using tools such as dbt, Apache NiFi, or Pandas
  • Build and orchestrate repeatable ETL workflows using Apache Airflow, Dagster, or Prefect
  • Develop API connectors for ingesting structured and unstructured data sources
  • Collaborate with data stewards, architects, and mission teams to align on data standards, quality, and integrity
  • Provide advanced database administration for Oracle, PostgreSQL, MongoDB, Elasticsearch, and others
  • Ingest and analyze streaming data using tools like Apache Kafka, AWS Kinesis, or Apache Flink
  • Perform real-time and batch processing on large datasets in secure cloud environments (e.g., AWS GovCloud, C2S)
  • Implement and monitor data quality and validation checks using tools such as Great Expectations or Deequ
  • Work across agile teams using DevSecOps practices to build resilient full-stack solutions with Python, Java, or Scala

Required Skills

  • Experience building and maintaining data pipelines using Apache Spark, Airflow, NiFi, or dbt
  • Proficiency in Python, SQL, and one or more of: Java, Scala
  • Strong understanding of cloud services (especially AWS and GovCloud), including S3, EC2, Lambda, EMR, Glue, Redshift, or Snowflake
  • Hands-on experience with streaming frameworks such as Apache Kafka, Kafka Connect, or Flink
  • Familiarity with data lakehouse formats (e.g., Apache Hudi, Delta Lake, or Iceberg)
  • Experience with NoSQL and RDBMS technologies such as MongoDB, DynamoDB, PostgreSQL, or MySQL
  • Ability to implement and maintain data validation frameworks (e.g., Great Expectations, Deequ)
  • Comfortable working in Linux/Unix environments, using bash scripting, Git, and CI/CD tools
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes
  • Collaborative mindset with experience working in Agile/Scrum environments using Jira, Confluence, and Git-based workflows