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Downstream Process Development Jobs in Virginia (NOW HIRING)

Anika Systems

Data Engineer

Leesburg, VA · On-site +1

$115K - $139K/yr

Leverage AI-assisted development tools to accelerate pipeline development, testing, and ... Automate build, test, and deployment processes for ETL pipelines and data platform components.

VTG

Senior Data Engineer

Chantilly, VA

$109K - $148K/yr

... for downstream systems and analytics platforms, including JSON formats * Manage and process ... with development teams * 4+ years of hands-on experience with Python * 4+ years of experience ...

Mavens Guild

Senior Spark & Python Developer

Mclean, VA

$122K - $165K/yr

... processes using Spark/PySpark, Java and performance enhanced SQL * Develop and lead development ... downstream systems * Implement and lead implementation of Agile best practices and a continuous ...

Anika Systems

Data Engineer

Leesburg, VA · Remote

$115K - $139K/yr

Leverage AI-assisted development tools to accelerate pipeline development, testing, and ... Automate build, test, and deployment processes for ETL pipelines and data platform components.

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

... processes using Spark/PySpark, Java and performance enhanced SQL * Develop and lead development ... downstream systems * Implement and lead implementation of Agile best practices and a continuous ...

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

... processes using Spark/PySpark, Java and performance enhanced SQL * Develop and lead development ... downstream systems * Implement and lead implementation of Agile best practices and a continuous ...

Lorven Technologies

Actimize Support

Richmond, VA · On-site

Developed and optimized Oracle PL/SQL procedures, packages, functions, triggers, and complex ... Worked with upstream and downstream systems to support data interfaces, file processing, and batch ...

ECS Ltd

Director of Oil and Gas

Chantilly, VA · On-site

... and downstream markets and related energy infrastructure. This role drives client development ... Support the development of a consistent national business development process for oil and gas ...

Maxar Technologies, Inc.

Full Stack Developer

Mclean, VA · On-site

$113K - $188K/yr

... processing and pipeline development. * Experience working with REST APIs for data ingestion and integration. * Experience producing structured data outputs such as JSON for downstream systems.

Maxar

Full Stack Developer

Mclean, VA

$113K - $188K/yr

... processing and pipeline development. * Experience working with REST APIs for data ingestion and integration. * Experience producing structured data outputs such as JSON for downstream systems.

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms * Participate in Agile development processes and contribute to continuous improvement efforts ...

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms * Participate in Agile development processes and contribute to continuous improvement efforts ...

Peraton

Database Engineer - Analytics Platforms

Herndon, VA

$117K - $141K/yr

Write production-quality code to ingest, process, transform, and expose data for downstream use ... Contribute to the development of practical, maintainable technical solutions rather than one-off ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms * Participate in Agile development processes and contribute to continuous improvement efforts ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms * Participate in Agile development processes and contribute to continuous improvement efforts ...

Peraton

Database Engineer - Analytics Platforms

Herndon, VA

$117K - $141K/yr

Write production-quality code to ingest, process, transform, and expose data for downstream use ... Contribute to the development of practical, maintainable technical solutions rather than one-off ...

Rosendin

Human Resource Operations

Sterling, VA

Process complex payroll transactions including garnishments, final checks, officer medical, tuition ... Strong attention to detail; you understand that errors in this role have real downstream ...

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Downstream Process Development information

See Virginia salary details

$18

$33

$49

How much do downstream process development jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for downstream process development in Virginia is $33.39, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $41.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Downstream Process Development position, and why are they important?

To excel in Downstream Process Development, you generally need a strong background in biochemistry, chemical engineering, or a related life sciences field, often with experience in bioprocessing or purification technologies. Familiarity with chromatography systems, filtration equipment, process analytical technology (PAT), and relevant software such as DeltaV or Unicorn is frequently required, along with knowledge of GMP and regulatory standards. Excellent problem-solving, project management, and cross-functional communication skills help professionals succeed in dynamic team environments. These competencies are crucial for developing efficient, scalable purification processes that ensure high product quality and support organizational goals.

What is a Downstream Process Development job?

A Downstream Process Development job involves optimizing and scaling purification processes for biologics, such as proteins, antibodies, or gene therapies. Scientists and engineers in this role develop efficient methods for isolation, purification, and formulation of therapeutic products while ensuring quality and regulatory compliance. Key activities include chromatography, filtration, and process analytics to improve yield, purity, and consistency. This role is critical in biotech and pharmaceutical industries to ensure safe and effective drug production for clinical and commercial use.

What are typical daily responsibilities for someone in Downstream Process Development?

Professionals in Downstream Process Development are typically responsible for designing, optimizing, and scaling up purification processes for biopharmaceutical products. Their day-to-day work may involve conducting laboratory experiments, analyzing data, troubleshooting technical issues, and documenting process changes in accordance with regulatory standards. They also frequently collaborate with upstream processing, analytical, and quality teams to ensure seamless transfer and integration of processes. The role often includes participating in project meetings, contributing to process validation efforts, and supporting technology transfer to manufacturing teams, making it both technically challenging and collaborative.

What are the most commonly searched types of Downstream Process Development jobs in Virginia? The most popular types of Downstream Process Development jobs in Virginia are:
What are popular job titles related to Downstream Process Development jobs in Virginia? For Downstream Process Development jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Downstream Process Development jobs in Virginia look for? The top searched job categories for Downstream Process Development jobs in Virginia are:
Downstream Process Development jobs near you
Infographic showing various Downstream Process Development job openings in Virginia as of June 2026, with employment types broken down into 83% Full Time, 6% Part Time, 2% Temporary, 7% Contract, and 2% Nights. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $69,460 per year, or $33.4 per hour.
Data Engineer

Data Engineer

Anika Systems

Leesburg, VA • On-site, Remote

$115K - $139K/yr

Full-time

Posted 27 days ago

Job description

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.
This opportunity is 100% remote.
The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms.
Key Responsibilities
Data Pipeline Development & ETL/ELT
  • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms.
  • Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets.
  • Implement data transformation logic to support analytics, reporting, and regulatory use cases.
  • Ensure data pipelines are reliable, performant, and scalable in cloud environments.
  • Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization.
Cloud Data Platforms & Iceberg Architecture
  • Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift).
  • Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes.
  • Support lakehouse architectures that unify data lakes and data warehouses.
  • Optimize data storage and retrieval strategies for performance and cost efficiency.
  • Enable data platforms that support AI/ML workloads and downstream generative AI use cases.
CI/CD & DataOps Engineering
  • Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services.
  • Automate build, test, and deployment processes for ETL pipelines and data platform components.
  • Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies.
  • Ensure reproducibility, reliability, and governance of data pipeline deployments across environments.
  • Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk.
Data Optimization & Performance Engineering
  • Design and implement materialized views and other performance optimization techniques to improve query efficiency.
  • Tune data pipelines and queries for performance, scalability, and cost.
  • Implement partitioning, indexing, and caching strategies aligned to workload patterns.
XBRL & Financial Data Processing
  • Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data.
  • Support regulatory and financial data use cases requiring high accuracy and traceability.
  • Ensure alignment with data standards and validation rules for financial reporting datasets.
Context Engineering & Data Modeling Support
  • Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context.
  • Collaborate with Data Architects to support data modeling, schema design, and entity relationships.
  • Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance.
Metadata, Data Catalog, and Governance Integration
  • Integrate pipelines with enterprise data catalogs and metadata management systems.
  • Support automated metadata capture, lineage tracking, and data quality monitoring.
  • Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability.
Stakeholder Collaboration & Agile Delivery
  • Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions.
  • Participate in stakeholder listening campaigns, workshops, and data discovery efforts.
  • Work in Agile teams to iteratively deliver data capabilities and enhancements.
  • Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 5+ years of experience in data engineering, ETL development, or data platform engineering.
  • Strong hands-on experience with:
    • ETL/ELT tools and frameworks
    • AWS data services (S3, Glue, Lambda, Redshift, etc.)
    • Apache Iceberg and modern data lake architectures
  • Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows.
  • Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools).
  • Experience processing XBRL or complex financial/regulatory datasets.
  • Proficiency in SQL and Python.
  • Experience implementing materialized views and query optimization techniques.
  • Understanding of data modeling concepts and metadata management.
  • Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases.
  • Ability to work in Agile, DevOps-oriented environments.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow).
  • Experience with Apache Spark, Kafka, or other distributed data processing frameworks.
  • Experience enabling data pipelines for AI/ML or generative AI applications.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • Exposure to context engineering or semantic data layer design.
  • AWS or data engineering certifications.
  • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.

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