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Remote Nifi Developer Jobs in Virginia (NOW HIRING)

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

... C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

This is a fully remote position. Here, your work is more than a job - it's a journey in innovation ... Proficiency with Python, SQL, and ETL frameworks (e.g., Apache NiFi, Talend, or AWS Glue)

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

... C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

... C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Data & Software Engineer

Mclean, VA · On-site +1

$115K - $139K/yr

... C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

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Remote Nifi Developer information

What is the difference between Remote Nifi Developer vs Data Engineer?

AspectRemote Nifi DeveloperData Engineer
Required CredentialsTypically requires knowledge of Apache NiFi, SQL, and scripting languagesRequires SQL, Python, Java, and data architecture certifications
Work EnvironmentRemote or on-site, focused on data flow automation and integrationRemote or on-site, involved in building data pipelines and infrastructure
Industry UsageUsed in data integration, ETL processes, and real-time data flow managementUsed in data warehousing, analytics, and big data infrastructure

Remote Nifi Developers focus on designing and maintaining data flows using Apache NiFi, often working on data integration tasks. Data Engineers have a broader role, building and managing data pipelines and infrastructure across various tools and platforms. While both roles require data processing skills, Data Engineers typically have a wider skill set and work on more complex data architecture projects.

What are the most commonly searched types of Nifi Developer jobs in Virginia? The most popular types of Nifi Developer jobs in Virginia are:
What job categories do people searching Remote Nifi Developer jobs in Virginia look for? The top searched job categories for Remote Nifi Developer jobs in Virginia are:
What cities in Virginia are hiring for Remote Nifi Developer jobs? Cities in Virginia with the most Remote Nifi Developer job openings:
Infographic showing various Remote Nifi Developer job openings in Virginia as of June 2026, with employment types broken down into 68% Full Time, 18% Part Time, and 14% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Data & Software Engineer with Security Clearance

GRVTY

Fairfax, VA • On-site, Remote

$117K - $140K/yr

Other

Posted 11 days ago


Job description

What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities.

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported.

The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work.

The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You'll Be Owning GRVTY is seeking a Data & Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA.The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. Candidate must have experience: * Building end-to-end data pipelines leveraging Python * Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs * Containerizing and deploying applications in cloud environments like AWS.

* Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. * Leveraging industry standard tools for code control (Git, IaaC control, etc.) * Working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial. * Using Bash scripting for automation and data processing tasks * Integrating Al/ML services and models Responsibilities: * Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight * Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks * Leverage a background in large-scale data migration or platform modernization efforts * Contribute to data engineering documentation, best practices, and design patterns.

What You Must Have * Active TS/SCI with Polygraph Clearance * Minimum of 5 years' experience with: * Apache Spark & PySpark * Advanced Python skills (including Pandas & NumPy) * Docker, Podman * AWS S3, Lambda & Step functions * Apache Iceberg, Airflow, etc. * SQL (with Trino) * NoSQL, DynamoDB * Unity Catalog OSS, Apache Polaris * Apache Superset * Terraform or CloudFormation * OpenLineage * H3, PostGIS #LI-BPJ