What are the responsibilities and job description for the Lead Data Engineer position at Kforce?
Lead Data Engineer
Location: Houston, TX
Job Type: Permanent
Compensation: $160,000 - 170,000 Annually
JobID: 2151910-WQG
Description
A Kforce client is seeking an experienced Lead Data Engineer to join a growing Data Engineering team within an enterprise-level Data & Analytics organization in Houston, Texas. This is a full-time, direct-hire opportunity: 160k-170k plus performance-based bonuses, and long-term incentive programs. Key Tasks:
The Lead Data Engineer is responsible for architecting, designing, and implementing modern, cloud-based data platforms that support advanced analytics and predictive modeling across critical business units
Act as a hands-on individual contributor while also shaping the architecture and long-term vision of enterprise data solutions; This position requires strong collaboration with data scientists, analysts, and business stakeholders to turn complex requirements into scalable technical solutions
Working in a technically forward environment with a team that is deeply integrated with data science, business intelligence, and machine learning; The ideal candidate is both highly technical and business-minded, comfortable writing production-grade code and engaging with end users to understand and solve real business problems
Requirements
7+ years of hands-on experience designing and implementing enterprise data platforms
Strong experience with: Cloud data services (preferably AWS); Modern data warehousing tools (e.g., Snowflake); Data modeling methodologies (dimensional modeling, data vault, etc.)
Experience with Data Lakehouse implementations (e.g., Apache Iceberg, Delta Lake)
Deep understanding of ETL/ELT, streaming data, pub/sub, and Change Data Capture (CDC)
Expert-level proficiency in Python and SQL
Proven ability to create and maintain modular, testable code using engineering best practices (e.g., CI/CD, version control, unit testing)
Tools & Frameworks:
Experience with DBT for data transformation
Experience with Apache Airflow or similar orchestration tools
Experience with Python packages like pandas, NumPy, pyarrow, pytest, boto3
Infrastructure as Code tools such as Terraform or CloudFormation
Architecture & Leadership:
Experience leading cross-functional projects and mentoring junior engineers
Ability to create reference architectures, design patterns, and long-term roadmaps
Strong background in both data architecture and implementation
Comfortable balancing individual contributor responsibilities with technical leadership
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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