Data Engineer

Kforce Inc; Spring (TX); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

HSA

FSA

401(k)

Life Insurance

Disability Insurance

Paid Time Off

Job summary

Kforce Inc. is seeking a Data Engineer for a client in Spring, TX to design and operate robust data ingestion pipelines and ensure accurate data delivery. The role emphasizes collaboration with QA and stakeholders to meet sprint objectives and timelines.

The ideal candidate will bring strong Databricks Lakehouse experience, Unity Catalog, Spark Declarative Pipelines, DBT modeling, and SQL/PySpark skills, with proficiency in Power BI for analytics consumption.

Qualifications

• 4-5 years of experience in data engineering.
• Strong Databricks Lakehouse principles and experience.
• Hands-on Unity Catalog experience.
• Experience developing Spark Declarative Pipelines (Lakeflow/DLT, autoloader).
• Deep experience with DBT model development, conversion, and refactoring.
• Working knowledge of Azure DevOps CI/CD pipelines.
• Familiarity with metadata-driven frameworks.
• Exposure to Power BI and analytics consumption patterns.
• Exposure to code generation and agentic engineering patterns.
• Strong pipeline development capabilities.
• Strong SQL and PySpark development skills.

Responsibilities

• Build and maintain ingestion pipelines.
• Partner with QA to define testing criteria for data accuracy and proactively update.
• Manage technical blockers, delivery timelines, and sprint progress without micromanagement.

Skills

Databricks Lakehouse

Unity Catalog

Spark Declarative Pipelines

DBT

Azure DevOps

Metadata-driven frameworks

Power BI

Code generation

Pipeline development

SQL

PySpark

Tools

Lakeflow

DLT

Autoloader

Azure DevOps

Job description

Responsibilities

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks:

• Responsible for building and maintaining ingestion
• Routinely partners with QA to define testing criteria for data accuracy and proactively updates
• Project Management on technical blockers, delivery timelines, and sprint progress without requiring micromanagement

Requirements

• 4-5 years of experience
• Very Strong Databricks Lakehouse principles and experience
• Hands-on Unity Catalog experience
• Experience developing Spark Declarative Pipelines (Lakeflow/DLT, autoloader)
• Deep experience with DBT model development, conversion, and refactoring
• Working knowledge of Azure DevOps CI/CD pipelines
• Familiarity with metadata-driven frameworks
• Exposure to Power BI and analytics consumption patterns
• Exposure to code generation and agentic engineering patterns
• Strong pipeline development capabilities
• Strong SQL and PySpark development skills

Required Non-Technical Skills Collaboration

• Strong partnership mindset
• Effective stakeholder engagement
• Excellent verbal communication skills
• Strong written communication skills
• Strong accountability
• Takes ownership of assigned deliverables
• Drives issues to closure

Risk Management

• Raises alarms early when risks are identified
• Escalates blockers appropriately
• Proactively identifies project dependencies
• Communicates schedule or quality risks effectively

Problem Solving

• Strong analytical skills
• Root cause analysis capabilities
• Ability to work closely with BI and QA teams
• Ability to participate in technical design discussions
• Ability to explain technical concepts clearly
• Ability to communicate blockers and dependencies effectively
• Ability to work independently
• Ability to investigate data discrepancies

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.