Data Engineer
Kforce Inc, Wexford, PA, United States
Responsibilities
Kforce has a client that is seeking a Data Engineer who will design, build, and maintain scalable data pipelines and core data workflows using AWS‑native services including Redshift, Glue, S3, Step Functions, and the Glue Data Catalog. This is a hybrid role in Pittsburgh, PA. Summary: You will own data ingestion, transformation, and validation processes and will be responsible for delivering reliable, well‑modeled datasets that support analytics and application use cases. You will collaborate closely with engineering, product, and business stakeholders to ensure data is accurate, accessible, and actionable, while helping shape the future state of the data platform.
Design, build, and maintain scalable ETL pipelines using AWS Glue, Crawlers, Apache Hudi, and Step Functions
Manage and optimize data storage and organization in Amazon S3
Participate in data modeling and transformation in Amazon Redshift to support analytics, reporting, and downstream applications
Own metadata management and schema discovery using AWS Glue Data Catalog
Ensure data quality, integrity, and consistency across all pipelines and datasets
Develop data access controls and governance practices to ensure secure and appropriate data use
Implement monitoring, logging, and alerting for data workflows
Partner with engineering and business teams to define data requirements and deliver trusted datasets
Enable analytics and reporting through well‑documented, well‑modeled, and reliable data assets
Establish best practices for data engineering, documentation, naming conventions, and governance
Contribute to the roadmap and evolution of the data platform as the organization scales
Perform other data‑related responsibilities as needed
Requirements
Strong experience with AWS data services including Redshift, Spark, Glue ETL, Glue Crawlers, S3, Step Functions, and Glue Data Catalog
Solid understanding of data modeling, ETL/ELT patterns, and downstream consumption needs
Proficiency in SQL and Python with experience working with large, complex datasets
Experience building and supporting production‑grade data pipelines
Strong analytical skills with the ability to translate business needs into scalable data solutions
Ability to work independently, take ownership, and build systems from scratch
High attention to detail with a strong focus on data accuracy and reliability
Experience with Git‑based workflows and version control
Clear communication skills and the ability to collaborate across technical and non‑technical teams
Structured, methodical approach to problem solving
A builder mindset and comfort operating without an established playbook
Preferred Qualifications
Relevant technical certifications
Experience with AWS EMR, data lakes, and Lake Formation
Experience coaching engineers or acting in a technical lead capacity
Background or exposure to data analytics
Experience working in small or agile teamsFamiliarity with Linux‑based environments
Hands‑on experience with Jira and Confluence
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Kforce has a client that is seeking a Data Engineer who will design, build, and maintain scalable data pipelines and core data workflows using AWS‑native services including Redshift, Glue, S3, Step Functions, and the Glue Data Catalog. This is a hybrid role in Pittsburgh, PA. Summary: You will own data ingestion, transformation, and validation processes and will be responsible for delivering reliable, well‑modeled datasets that support analytics and application use cases. You will collaborate closely with engineering, product, and business stakeholders to ensure data is accurate, accessible, and actionable, while helping shape the future state of the data platform.
Design, build, and maintain scalable ETL pipelines using AWS Glue, Crawlers, Apache Hudi, and Step Functions
Manage and optimize data storage and organization in Amazon S3
Participate in data modeling and transformation in Amazon Redshift to support analytics, reporting, and downstream applications
Own metadata management and schema discovery using AWS Glue Data Catalog
Ensure data quality, integrity, and consistency across all pipelines and datasets
Develop data access controls and governance practices to ensure secure and appropriate data use
Implement monitoring, logging, and alerting for data workflows
Partner with engineering and business teams to define data requirements and deliver trusted datasets
Enable analytics and reporting through well‑documented, well‑modeled, and reliable data assets
Establish best practices for data engineering, documentation, naming conventions, and governance
Contribute to the roadmap and evolution of the data platform as the organization scales
Perform other data‑related responsibilities as needed
Requirements
Strong experience with AWS data services including Redshift, Spark, Glue ETL, Glue Crawlers, S3, Step Functions, and Glue Data Catalog
Solid understanding of data modeling, ETL/ELT patterns, and downstream consumption needs
Proficiency in SQL and Python with experience working with large, complex datasets
Experience building and supporting production‑grade data pipelines
Strong analytical skills with the ability to translate business needs into scalable data solutions
Ability to work independently, take ownership, and build systems from scratch
High attention to detail with a strong focus on data accuracy and reliability
Experience with Git‑based workflows and version control
Clear communication skills and the ability to collaborate across technical and non‑technical teams
Structured, methodical approach to problem solving
A builder mindset and comfort operating without an established playbook
Preferred Qualifications
Relevant technical certifications
Experience with AWS EMR, data lakes, and Lake Formation
Experience coaching engineers or acting in a technical lead capacity
Background or exposure to data analytics
Experience working in small or agile teamsFamiliarity with Linux‑based environments
Hands‑on experience with Jira and Confluence
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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