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  1. Home
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  3. it
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  5. Java QA Automation Engineer
Openkyber logo

Java QA Automation Engineer

Not Disclosed•ContractorOn-site

location_onUnorganized Borough, United States

Apply Now

About the Team

The Data Architecture, Technology, and Analytics (DATA) section within the Federal Reserve Board's Division of Research & Statistics (R&S) is dedicated to transforming how the organization ingests, organizes, uses, and visualizes data. Our mission is to modernize legacy data environments and fragmented pipelines into integrated cloud platforms and enterprise systems. By doing so, we enhance economic forecasting, support policymaking, and ensure the Division maintains leadership in economic analysis while meeting Congressional mandates efficiently.

About the Role

We are seeking an experienced, hands-on Data Architect to expand and optimize our data and pipeline architecture. This role is critical for bridging the gap between complex data systems and the economists and technical experts who rely on them. You will be responsible for designing and developing optimal data delivery architectures, optimizing data flow, and potentially redesigning the R&S division's data architecture to support next-generation initiatives.

In this position, you will work directly with research and business teams to improve data models and processes that support analytics and visualization tools. The ideal candidate possesses a service mindset, is self-directed, and thrives in an environment where they can improve existing systems or build new ones from the ground up. You will translate division requirements into long-term information architecture solutions, ensuring data is accurate, reliable, and accessible for data-driven decision-making across the organization.

Hiring Process & Application

This is a multi-year contract role based in Washington, DC, with onsite presence required as per government contact. Candidates must be eligible for a Public Trust clearance. We accept applications from both W2 and C2C candidates.

Application Deadline: June 1st at 3 PM.

To apply or for inquiries, please contact: hirings@openkyber.com

Our Culture & Commitment

OpenKyber and its subsidiaries are leaders in delivering outsourced services and workforce solutions across North America. We pride ourselves on being valued partners who help clients achieve efficiency without compromising quality. We are an Equal Opportunity Employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other characteristic protected by applicable law.

Work location

Work model: On-site

location_on

Unorganized Borough, United States

Key Responsibilities

  • check_circleDesign and implement modern data infrastructure to enhance economic forecasting and policymaking
  • check_circleTransform legacy databases and fragmented pipelines into integrated cloud platforms and enterprise systems
  • check_circleArchitect and implement ETL/ELT workflows using modern tools to support large-scale data processing
  • check_circleCreate data solution designs including conceptual models and integration strategies for research projects
  • check_circleDefine specifications and implement database structures, logical models, and security controls
  • check_circleDevelop and maintain formal documentation of data structures, flows, and technical metadata
  • check_circleIdentify and implement process improvements including automation and infrastructure redesign for scalability
  • check_circleParticipate in developing future-state data architecture standards, guidelines, and principles

Requirements

  • verifiedBachelor's degree in computer science, IT, Engineering or related technical field
  • verified7+ years of related experience
  • verifiedMust be able to obtain Public Trust clearance
  • verifiedAdvanced working knowledge of SQL
  • verifiedExperience with PostgreSQL, Microsoft SQL Server, and MySQL
  • verifiedAdvanced working knowledge of Python, R, and scripting languages
  • verifiedExperience with large-scale data systems and distributed computing
  • verifiedExperience designing and automating ETL/ELT workflows
  • verifiedExperience with workflow orchestration tools (Apache Airflow, Prefect, Dagster, AWS Step Functions)
  • verifiedExperience migrating workflows between on-premises and cloud environments

Nice to Have

Advanced degree. Understanding of time series data and related analytical and forecasting techniques. Experience working in a research environment and/or with economic or financial data. Experience with NoSQL and graph database technologies. Experience developing, training, deploying, and maintaining machine learning models. Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. Experience implementing and maintaining CI/CD pipelines and DataOps platforms. Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl.

Benefits & Perks

check_circleHealth and welfare benefits coverage including medical, dental, and visioncheck_circleSpending accounts and life insurance coverage optionscheck_circleVoluntary insurance plans availablecheck_circleParticipation in a 401(k) retirement plan
Openkyber logo
Company

Openkyber

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

7+ yrs (Senior)

Education

Bachelor's degree in Computer Science, IT, Engineering or related field required

Job Type

Contractor

Skills Required

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Skills, education and keywords

Skills: SQL, Postgresql, Microsoft SQL Server, MYSQL, Python, R, Etl, Elt, Apache Airflow, Prefect.

Education: Bachelor's degree in Computer Science, IT, Engineering or related field required.

Frequently asked questions about Java QA Automation Engineer at Openkyber

What does a Java QA Automation Engineer at Openkyber do?expand_more
Day-to-day, the Java QA Automation Engineer at Openkyber will design and implement modern data infrastructure to enhance economic forecasting and policymaking; transform legacy databases and fragmented pipelines into integrated cloud platforms and enterprise systems; architect and implement etl/elt workflows using modern tools to support large-scale data processing; and create data solution designs including conceptual models and integration strategies for research projects.
What are the requirements for this Java QA Automation Engineer role?expand_more
To qualify for the Java QA Automation Engineer at Openkyber position, applicants should have: Bachelor's degree in computer science, IT, Engineering or related technical field; 7+ years of related experience; Must be able to obtain Public Trust clearance; Advanced working knowledge of SQL; Experience with PostgreSQL, Microsoft SQL Server, and MySQL; and Advanced working knowledge of Python, R, and scripting languages.
Where is the Java QA Automation Engineer role at Openkyber located?expand_more
Java QA Automation Engineer at Openkyber is based in Unorganized Borough, United States. This is a on-site role.
Is this Java QA Automation Engineer job remote, hybrid, or on-site?expand_more
Openkyber has listed this Java QA Automation Engineer role as on-site.
How much experience is required for this Java QA Automation Engineer role?expand_more
Java QA Automation Engineer at Openkyber typically requires 7+ years of relevant experience at the senior level.
What skills do you need for the Java QA Automation Engineer role at Openkyber?expand_more
Key skills for Java QA Automation Engineer at Openkyber include SQL; Postgresql; Microsoft SQL Server; MYSQL; Python; R; Etl; and Elt.
What education is required for Java QA Automation Engineer at Openkyber?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, IT, Engineering or related field required.
What category does the Java QA Automation Engineer role belong to?expand_more
Java QA Automation Engineer at Openkyber is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
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About usFAQContactPrivacy policy

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
check_circle
Collaborate with research teams to improve data models and increase data accessibility for decision making
  • check_circleDesign, develop, and maintain robust data pipelines for ingesting and transforming data from multiple sources
  • check_circleImplement processes to monitor data quality ensuring accuracy and reliability for end users
  • verified
    Experience with Linux environments
  • verifiedExperience with GitLab and/or GitHub
  • verifiedExperience with NoSQL and graph database technologies
  • verifiedExperience with cloud technologies (AWS, Microsoft Azure, Snowflake)
  • SQLPostgresqlMicrosoft SQL ServerMYSQLPythonREtlEltApache AirflowPrefect
    US privacy notice
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