Lead Data Engineer

job summary: Randstad Digital is hiring and we’re looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view and apply.

location: Plano, Texas job type: Contract salary: $87.34 - 96.66 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies

As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems

Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks

Optimize information systems for end-users and downstream application consumers by using sound data design practices

Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

qualifications: 10+ years experience in application development using Python and SQL

5+ years experience with public cloud: AWS, GCP, Azure

5+ years experience with distributed data/computing tools (MapReduce, Hadoop, EMR, Kafka, Spark).

5+ years experience working with real-time data and streaming applications.

5+ years experience with data warehouses and services (Snowflake, Databricks, Redshift)

5+ years experience with data modeling for data warehousing

Experience leveraging interactive AI tooling (Claude Code, Windsurf, GitHub Copilot) to accelerate software delivery

skills: Agile,Redshift,AWS,Hadoop,Kafka,Spark,cloud-based data,building data pipelines,streaming,data warehouses,data warehousing,Databricks,distributed data,distributed computing,EMR,data movement,GitHub Copilot,GCP,Data Engineering,information systems,MapReduce,Azure,NoSQL databases,Open Source RDBMS,programming languages,Python,real-time data,SQL,Snowflake,application development,passion,customer needs,data modeling,data quality,full-stack systems,governance,mentoring,Metrics,public cloud,warehousing,learning new technologies,AI tooling

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

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Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies

As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems

Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks

Optimize information systems for end-users and downstream application consumers by using sound data design practices

Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

Agile,Redshift,AWS,Hadoop,Kafka,Spark,cloud-based data,building data pipelines,streaming,data warehouses,data warehousing,Databricks,distributed data,distributed computing,EMR,data movement,GitHub Copilot,GCP,Data Engineering,information systems,MapReduce,Azure,NoSQL databases,Open Source RDBMS,programming languages,Python,real-time data,SQL,Snowflake,application development,passion,customer needs,data modeling,data quality,full-stack systems,governance,mentoring,Metrics,public cloud,warehousing,learning new technologies,AI tooling