Senior Data Engineer

Job overview

The Senior Data Engineer role is hybrid in Plano, TX, with four days per week onsite and one remote day. Compensation is not specified; the employer says compensation details will be discussed during the interview process. The engineer collaborates with data architects, data scientists, business stakeholders, and cloud infrastructure teams. The role designs and optimizes a cloud-based data platform, building reliable, secure, and high-performance data pipelines and lakehouse architecture. It also provides technical leadership and supports data quality, governance, monitoring, and business-critical reporting.

What you'll do

• Design and implement ETL/ELT pipelines using Azure Databricks, PySpark, and Spark SQL
• build ingestion workflows and medallion data layers
• establish Delta Lake and governance practices
• optimize pipeline performance and cost
• integrate Azure services and CI/CD tooling
• implement secure data access
• build datasets and KPIs
• mentor engineers and conduct code reviews
• implement data quality checks, monitoring, alerting, and recovery processes.

What we're looking for

Skills & competencies

senior data engineer

plano tx

humcap

hybrid

four days onsite

one remote day weekly

azure databricks

pyspark

spark sql

etl/elt pipelines

delta lake

data lakehouse

python and sql

no visa sponsorship

Work arrangement

• Weekend coverage required

Benefits & perks

• The employer describes a comprehensive benefits package
• details are not specified. Compensation and benefits details will be discussed during the interview process.

Why this role

Requires five or more years of data engineering experience, including three or more years with Azure Databricks and Apache Spark. Candidates must commute to the Plano/Dallas–Fort Worth area and work onsite four days per week. Sponsorship is not available.

About the employer

HumCap, Inc. is hiring for this role. Industry: Computer Facilities Management Services. Sector: 54.