Senior Data Engineer

Location: Plano, TX
Work arrangement: Onsite. Local candidates only
Job type: Contract
Experience: 10+ years of data engineering (12+ years preferred)
Interviews: First round by video, final round preferred onsite

About the Role

We are looking for a Senior Data Engineer to manage and optimize data movement between external partners and internal platforms. The role is centred on Databricks and Snowflake. You will help modernize legacy data platforms and bring new data sources into the organization.

We want someone with strong technical depth who can also lead. You will give technical direction on enterprise-scale data engineering work, and the role has potential to grow into a broader people-management position.

Primary Skills

Databricks, Snowflake, Apache Spark, Java, Python, data engineering, data migration, data platform modernization, data integration, scalable data pipelines and AWS/EMR.

What You Will Do

• Manage and optimize data movement between external partners and internal platforms
• Lead large-scale data platform modernization, including migrations from Amazon EMR to Databricks and from EMR to Snowflake
• Build scalable data pipelines and data integration frameworks
• Run enterprise-scale data ingestion and transformation
• Integrate new data sources, including external third-party data sources, across the organization
• Provide technical leadership and mentoring to the data engineering team

What You Bring

• 10+ years of data engineering experience (12+ preferred)
• Strong hands-on experience with Java and/or Python
• 3 to 4+ years of Databricks
• 3 to 4+ years of Snowflake
• Strong experience with Apache Spark
• Experience leading large-scale data platform modernization
• Technical leadership and mentoring experience
• Strong communication and stakeholder management skills

Nice to Have

• AWS and Amazon EMR
• Data migration experience
• Cloud data platform experience

Frequently Asked Questions

1. Where is this job located?

Plano, Texas.

2. Is the role remote or hybrid?

No. It is onsite.

3. Can non-local candidates apply?

No. Local candidates are required.

4. What type of job is it?

A contract role.

5. How much experience is required?

10+ years of data engineering. 12+ years is preferred.

6. How much Databricks experience is needed?

3 to 4+ years.

7. How much Snowflake experience is needed?

3 to 4+ years.

8. Which programming languages are required?

Java and/or Python.

9. Is Apache Spark required?

Yes. Strong Spark experience is required.

10. What migrations will I work on?

Moving from Amazon EMR to Databricks and to Snowflake.

11. Is AWS experience required?

It is preferred, along with Amazon EMR.

12. Does the role include leadership?

Yes. Technical leadership and mentoring are required.

13. Could the role grow?

Yes. It has potential to move into a broader people-management role.

14. How are interviews held?

The first round can be by video. An onsite final round is preferred.

15. How do I apply?