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Remote Pentaho Developer Jobs in Reston, VA (NOW HIRING)

Sparibis

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services, and the ...

All JobsPentaho Developer JobsRemote Pentaho Developer JobsRemote Pentaho Developer Jobs in Reston, VA

Remote Pentaho Developer information

See Reston, VA salary details

$41.6K

$134.6K

$164.9K

How much do remote pentaho developer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote pentaho developer in Reston, VA is $134,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $163,300.00 per year, depending on experience, location, and employer.

What does a Remote Pentaho Developer do?

A Remote Pentaho Developer specializes in designing, developing, and maintaining data integration and business intelligence solutions using the Pentaho platform, all while working remotely. Their main tasks include creating ETL (Extract, Transform, Load) processes, building data models, and developing reports and dashboards to help organizations make data-driven decisions. These developers collaborate with business analysts and stakeholders to understand requirements and ensure the data solutions meet business needs.

What are the key skills and qualifications needed to thrive as a Remote Pentaho Developer?

To thrive as a Remote Pentaho Developer, you need strong skills in data integration, ETL processes, SQL, and a solid understanding of business intelligence concepts, typically supported by a degree in computer science or a related field. Experience with Pentaho Data Integration (PDI), Pentaho BI Suite, and familiarity with databases like MySQL or Oracle are crucial, and having certifications in Pentaho or related BI tools is advantageous. Excellent problem-solving abilities, attention to detail, and effective remote communication skills set standout professionals apart in this role. These competencies ensure the accurate development and maintenance of data solutions, supporting informed business decisions and seamless remote collaboration.

What is the difference between Remote Pentaho Developer vs Data Integration Specialist?

AspectRemote Pentaho DeveloperData Integration Specialist
CredentialsProficiency in Pentaho tools, SQL, and data modelingExperience with ETL tools, SQL, and data workflows
Work EnvironmentRemote or on-site, working on data integration projects using PentahoTypically in data teams, focusing on ETL processes and data pipelines
Industry UsageUsed in BI, analytics, and data warehousing projectsCommon in data engineering, analytics, and data management roles

The Remote Pentaho Developer and Data Integration Specialist roles share skills in SQL and data workflows but differ mainly in tool focus. The Pentaho Developer specializes in Pentaho suite tools for BI solutions, while the Data Integration Specialist may work with various ETL tools. Both roles are vital in data projects, often overlapping in data pipeline tasks, but the choice depends on specific tool expertise and project requirements.

What are some common challenges faced by Remote Pentaho Developers, and how can they be addressed?

Remote Pentaho Developers often encounter challenges related to effective communication and collaboration with distributed teams, especially when clarifying project requirements or troubleshooting BI solutions. Additionally, maintaining up-to-date knowledge of evolving Pentaho features and integrating them with various data sources can be demanding. Utilizing collaborative tools, setting clear expectations with stakeholders, and participating in online Pentaho communities can help address these challenges and ensure project success.

What are popular job titles related to Remote Pentaho Developer jobs in Reston, VA?

For Remote Pentaho Developer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Remote Pentaho Developer jobs in Reston, VA look for?

The top searched job categories for Remote Pentaho Developer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Remote Pentaho Developer jobs?

Cities near Reston, VA with the most Remote Pentaho Developer job openings:

Remote Pentaho Developer jobs near you
Infographic showing various Remote Pentaho Developer job openings in Reston, VA as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $134,568 per year, or $64.7 per hour.

Data Engineer

Sparibis

Washington, DC • On-site, Remote

$129K - $155K/yr

Full-time

Re-posted 24 days ago

Job description

Location: 100% Remote
Years' Experience: 5+ years Professional Experience
Education: Bachelor's Degree in IT related field
Clearance: Applicants must be able to obtain and maintain a secret security clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.
Required Certifications:
  • CompTIA Security +

Key Skills:
  • 5+ years of IT experience focusing on enterprise data architecture and management to include data flow charts, diagrams, and other technical documentation.
  • Experience with Databricks, Structured Streaming, Delta Lake concepts, and Delta Live Tables required.
  • Python development experience required.
  • Experience with ETL and ELT tools such as SSIS, Pentaho, and/or Data Migration Services, and the ability to incorporate Python as required.
  • Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
  • Proficiency using Git for version control, including repository management, branching, merging, and pull requests.
  • Active CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to beginning supporting the program.

Responsibilities
  • Plan, create, and maintain data architectures, ensuring alignment with business requirements.
  • Obtain data, formulate dataset processes, and store optimized data.
  • Identify problems and inefficiencies and apply solutions.
  • Determine tasks where manual participation can be eliminated with automation.
  • Identify and optimize data bottlenecks, leveraging automation where possible.
  • Create and manage data lifecycle policies (retention, backups/restore, etc).
  • In-depth knowledge for creating, maintaining, and managing ETL/ELT pipelines.
  • Create, maintain, and manage data transformations.
  • Maintain/update documentation.
  • Create, maintain, and manage data pipeline schedules.
  • Monitor data pipelines.
  • Create, maintain, and manage data quality gates (Great Expectations) to ensure high data quality.
  • Support AI/ML teams with optimizing feature engineering code.
  • Expertise in Spark/Python/Databricks, Data Lake and SQL.
  • Create, maintain, and manage Spark Structured Steaming jobs, including using the newer Delta Live Tables and/or DBT.
  • Research existing data in the data lake to determine best sources for data.
  • Create, manage, and maintain ksqlDB and Kafka Streams queries/code
  • Data driven testing for data quality.
  • Maintain and update Python-based data processing scripts executed on AWS Lambdas.
  • Unit tests for all the Spark, Python data processing and Lambda codes.
  • Maintain PCIS Reporting Database data lake with optimizations and maintenance (performance tuning, etc).
  • Streamlining data processing experience including formalizing concepts of how to handle lake data, defining windows, and how window definitions impact data freshness.

Qualifications
  • 5+ years of IT experience focusing on enterprise data architecture and management.
  • Must have an active Secret security clearance.
  • Bachelor degree required.
  • CompTIA Security+ certification preferred. If selected, must be able to obtain a CompTIA Security+ certification prior to begin supporting the program.
  • Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling.
  • Experience with Databricks and Python Development, Structured Streaming, Delta Lake concepts, and Delta Live Tables required.
    • Additional experience with Spark, Spark SQL, Spark DataFrames and DataSets, and PySpark.
    • Data Lake concepts such as time travel and schema evolution and optimization.
    • Structured Streaming and Delta Live Tables with Databricks a bonus.
  • Knowledge of Python (Python 3.X) for CI/CD pipelines required.
    • Familiarity with Pytest and Unittest a bonus.
  • Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support.
    • Advanced level understanding of streaming data pipelines and how they differ from batch systems.
    • Formalize concepts of how to handle late data, defining windows, and data freshness.
    • Advanced understanding of ETL and ELT and ETL/ELT tools such as SSIS, Pentaho, Data Migration Service etc.
    • Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.
    • Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus.
    • Understanding of streaming data pipelines and batch systems.
    • Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness.
  • Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
  • Indexing and partitioning strategy experience.
  • Debug, troubleshoot, design and implement solutions to complex technical issues.
  • Experience with large-scale, high-performance enterprise big data application deployment and solution.
  • Understanding how to create DAGs to define workflows.
  • Familiarity with CI/CD pipelines, containerization, and pipeline orchestration tools such as Airflow, Prefect, etc a bonus but not required.
  • Architecture experience in AWS environment a bonus.
    • Familiarity working with Kinesis and/or Lambda specifically with how to push and pull data, how to use AWS tools to view data in Kinesis streams, and for processing massive data at scale a bonus.
    • Experience with Docker, Jenkins, and CloudWatch.
    • Ability to write and maintain Jenkinsfiles for supporting CI/CD pipelines.
    • Experience working with AWS Lambdas for configuration and optimization.
    • Experience working with DynamoDB to query and write data.
    • Experience with S3.
  • Experience working with JSON and defining JSON Schemas a bonus.
  • Experience setting up and management Confluent/Kafka topics and ensuring performance using Kafka a bonus.
    • Familiarity with Schema Registry, message formats such as Avro, ORC, etc.
    • Understanding how to manage ksqlDB SQL files and migrations and Kafka Streams.
  • Ability to thrive in a team-based environment.
  • Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management.
  • Proficiency using Git for version control, including repository management, branching, merging, and pull requests.
    • Repository setup and management.
    • Branching strategies (feature, develop, main).
    • Merging and resolving conflicts.
    • Creating and reviewing pull requests.
    • Commit best practices (clear messages, atomic commits).
    • Tagging and release management.

About Sparibis
Sparibis LLC is a professional solution firm that Clients rely on to access the best talent to drive their business success.
Sparibis is an equal opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.

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