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ActioNet has an exciting opportunity for a Data Engineer to join our interdisciplinary team to deliver the next generation of advanced data analytics and production systems for one of the nation’s leading sources of demographic, economic, and statistical data products. The Data Engineer will collaborate with software engineering, DevOps, data science, and product management teams to design/build solutions that transform legacy on-premises systems to new highly scalable cloud-native architectures for pipelines to dynamically extract, transform, and load (ETL) complex data from various sources into accessible formats for a wide range of analysis and reporting needs. This role demands expertise in Python and involves building complex pipelines from scratch, managing data flow within the AWS ecosystem, and conducting rigorous testing to ensure accuracy and completeness, consistency, and quality of all outputs. This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position requires Public Trust. Candidates must be US Citizens to be eligible.
Listed location: Remote, United States
Read the full posting
Employment: Unconfirmed

What you’ll work on

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions.
Develop efficient data processing and transformation workflows to support analytics and reporting needs.
Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies.

From the employer’s posting

Responsibilities: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions. Develop efficient data processing and transformation workflows to support analytics and reporting needs.

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions. Develop efficient data processing and transformation workflows to support analytics and reporting needs. Design, build, and maintain data pipelines and automated extract, transform, load (ETL) processes using tools like Python, R, and platform‑specific environments such as Jupyter Notebooks.

Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques. Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies. Develop dashboards, visualizations, and analytical products leveraging QuickSight or other mission‑approved tools to support operational decision‑making.

What you’ll bring

All qualifications

Core experience

5+ years of experience as a Data Engineer, Data Scientist, or Backend Software Engineer
Bachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field
Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting
Experience developing and implementing data reliability, efficiency, and qualify checks and processes
Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment.
Experience with structured and unstructured data databases including Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc.

Preferred experience

Experience with SAS highly preferred
Experience with data platforms like Cube, Athena, Redshift, Apache Spark, Databricks, Palantir, Snowflake, Google BigQuery
Experience with AWS BI and AI/ML services including QuickSight, SPICE, SageMaker etc.
Experience with workflow orchestration tools e.g.

Qualification wording

5+ years of experience as a Data Engineer, Data Scientist, or Backend Software Engineer

Bachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field

Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting

Experience developing and implementing data reliability, efficiency, and qualify checks and processes

Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment.

Experience with structured and unstructured data databases including Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc.

Experience with SAS highly preferred

Experience with data platforms like Cube, Athena, Redshift, Apache Spark, Databricks, Palantir, Snowflake, Google BigQuery

Experience with AWS BI and AI/ML services including QuickSight, SPICE, SageMaker etc.

Experience with workflow orchestration tools e.g. Airflow, Temporal

Tools in this posting

Python
R
SAS
SQL
AWS
Databricks
Docker
MongoDB
MySQL
Oracle
PostgreSQL
Redshift
S3
SageMaker
Snowflake
Spark
Airflow
Scala
BigQuery
Kubernetes

Source

ActioNet has an exciting opportunity for a Data Engineer to join our interdisciplinary team to deliver the next generation of advanced data analytics and production systems for one of the nation’s leading sources of demographic, economic, and statistical data products. The Data Engineer will collaborate with software engineering, DevOps, data science, and product management teams to design/build solutions that transform legacy on-premises systems to new highly scalable cloud-native architectures for pipelines to dynamically extract, transform, and load (ETL) complex data from various sources into accessible formats for a wide range of analysis and reporting needs. This role demands expertise in Python and involves building complex pipelines from scratch, managing data flow within the AWS ecosystem, and conducting rigorous testing to ensure accuracy and completeness, consistency, and quality of all outputs. This position is Hybrid - with on-site support in Suitland, MD and REMOTE.

- Develop efficient data processing and transformation workflows to support analytics and reporting needs. - Design, build, and maintain data pipelines and automated extract, transform, load (ETL) processes using tools like Python, R, and platform‑specific environments such as Jupyter Notebooks. - Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques.

- Bachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field - Strong skills in Python and SQL and proficiency with other data engineering languages (e. g., R, SAS, SCALA) - Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting

Preferred Qualifications: - Experience with SAS highly preferred - Experience with data platforms like Cube, Athena, Redshift, Apache Spark, Databricks, Palantir, Snowflake, Google BigQuery

- Experience developing and implementing data reliability, efficiency, and qualify checks and processes - Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment. - Experience with structured and unstructured data databases including Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc.

- Experience with data platforms like Cube, Athena, Redshift, Apache Spark, Databricks, Palantir, Snowflake, Google BigQuery - Experience with AWS BI and AI/ML services including QuickSight, SPICE, SageMaker etc. - Experience with workflow orchestration tools e.g. Airflow, Temporal

- Experience with SAS highly preferred - Experience with data platforms like Cube, Athena, Redshift, Apache Spark, Databricks, Palantir, Snowflake, Google BigQuery - Experience with AWS BI and AI/ML services including QuickSight, SPICE, SageMaker etc.

- Experience with and interest in AI/ML and data modeling highly preferred - Experience with microservices architecture and containerization (e.g., Docker, Kubernetes) - Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab CI/CD)

- Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment. - Experience with structured and unstructured data databases including Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc. - Familiarity with demographic, economic, and geospatial data sources and structures

- Experience with AWS BI and AI/ML services including QuickSight, SPICE, SageMaker etc. - Experience with workflow orchestration tools e.g. Airflow, Temporal - Familiarity with distributed high-performance computing (HPC) and parallel processing

Job description

View original posting ↗

ActioNet has an exciting opportunity for a Data Engineer to join our interdisciplinary team to deliver the next generation of advanced data analytics and production systems for one of the nation’s leading sources of demographic, economic, and statistical data products. The Data Engineer will collaborate with software engineering, DevOps, data science, and product management teams to design/build solutions that transform legacy on-premises systems to new highly scalable cloud-native architectures for pipelines to dynamically extract, transform, and load (ETL) complex data from various sources into accessible formats for a wide range of analysis and reporting needs. This role demands expertise in Python and involves building complex pipelines from scratch, managing data flow within the AWS ecosystem, and conducting rigorous testing to ensure accuracy and completeness, consistency, and quality of all outputs.

This position is Hybrid - with on-site support in Suitland, MD and REMOTE.

Federal position requires Public Trust. Candidates must be US Citizens to be eligible.

Responsibilities:

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions.
Develop efficient data processing and transformation workflows to support analytics and reporting needs.
Design, build, and maintain data pipelines and automated extract, transform, load (ETL) processes using tools like Python, R, and platform‑specific environments such as Jupyter Notebooks.
Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques.

Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies.

Develop dashboards, visualizations, and analytical products leveraging QuickSight or other mission‑approved tools to support operational decision‑making.
Provide full lifecycle assistance in deploying, optimizing, maintaining complex code with data processing routines running in development, test, and production
Optimize code through advanced algorithmic concepts to facilitate more efficient

Requirements:

5+ years of experience as a Data Engineer, Data Scientist, or Backend Software Engineer
Bachelor’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field
Strong skills in Python and SQL and proficiency with other data engineering languages (e. g., R, SAS, SCALA)
Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting
Experience developing and implementing data reliability, efficiency, and qualify checks and processes
Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment.
Experience with structured and unstructured data databases including Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc.
Familiarity with demographic, economic, and geospatial data sources and structures
Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.
Excellent communication and teamwork skills
Strong skills preparing and presenting design/architectural documents to clients
Requires a Public Trust - must be US Citizen to be eligible.

Preferred Qualifications:

Experience with SAS highly preferred

Experience with data platforms like Cube, Athena, Redshift, Apache Spark, Databricks, Palantir, Snowflake, Google BigQuery
Experience with AWS BI and AI/ML services including QuickSight, SPICE, SageMaker etc.

Experience with workflow orchestration tools e.g. Airflow, Temporal
Familiarity with distributed high-performance computing (HPC) and parallel processing
Experience with and interest in AI/ML and data modeling highly preferred
Experience with microservices architecture and containerization (e.g., Docker, Kubernetes)
Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab CI/CD)
Familiarity with agile development methodologies and version control systems (e.g., GitHub, Bitbucket)

ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security and IT Managed Services. With 26+ years of stellar past performance, ActioNet is the premier Trusted Innogrator!

Core Capabilities:

Advanced and Managed IT Services
Agile Software Development
DevSecOps
Cybersecurity
Health IT
C4ISR & SIGINT
Data Center Engineering & Operations
Engineering & Installation

Why ActioNet?

At ActioNet, our Passion for Quality is at the heart of everything we do:

Commitment to Employees: We are committed to making ActioNet a great place to work and continue to invest in our ActioNeters.
Commitment to Customers: We are committed to our customers by driving and sustaining Service Delivery Excellence.
Commitment to Community: We are committed to giving back to our community, helping others, and making the world a better place for our next generation.

ActioNet is proud to be named a Top Workplace for the twelfth year in a row (2014 - 2025). We have a 98% customer retention rate. We are passionate about the inspirational missions of our customers, and we entrust our employees and teams to deliver exceptional performance to enable the safety, security, health, and well-being of our nation.

What's in It For You?

As an ActioNeter, you get to be part of an exceptional team and a corporate culture that nurtures mutual success for our customers, employees, and communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy, and a desire to develop your skills, experience, and career. Are you ready to make a difference?

ActioNet is an equal-opportunity employer and values inclusion at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Full-Time Employees are eligible to participate in our ActioNet’s Benefits Program:

Medical Insurance
Vision Insurance
Dental Insurance
Life and AD&D Insurance
401(k) Savings Plan
Education and Professional Training
Flexible Spending Accounts (FSA)
Employee Referral and Merit Recognition Programs
Employee Assistance and Identity Theft Protection
Paid Holidays: 11 per year
Paid Time Off (PTO)
Disability Insurance

ActioNet is an equal opportunity employer and value inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

********Direct Applicants, only. No Agencies, No third-party recruiters, please********

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Source & posting history

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Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Remote, United States
ActioNet has an exciting opportunity for a Data Engineer to join our interdisciplinary team to deliver the next generation of advanced data analytics and production systems for one of the nation’s leading sources of demographic, economic, and statistical data products. The Data Engineer will collaborate with software engineering, DevOps, data science, and product management teams to design/build solutions that transform legacy on-premises systems to new highly scalable cloud-native architectures for pipelines to dynamically extract, transform, and load (ETL) complex data from various sources into accessible formats for a wide range of analysis and reporting needs. This role demands expertise in Python and involves building complex pipelines from scratch, managing data flow within the AWS ecosystem, and conducting rigorous testing to ensure accuracy and completeness, consistency, and quality of all outputs. This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position requires Public Trust. Candidates must be US Citizens to be eligible.
Work authorization: This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position requires Public Trust. Candidates must be US Citizens to be eligible. Responsibilities:
More source context
- Strong skills preparing and presenting design/architectural documents to clients - Requires a Public Trust - must be US Citizen to be eligible. Preferred Qualifications:

Open source at jobs.jobvite.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Apr 30, 2026
Recorded sightings: 51
Last seen by us: Oct 15, 2026

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Data Engineer | Req#4498