Data Engineer with Databricks, SQL
Not Disclosed•Full-TimeOn-site
location_on2021, Postal Way, Dallas, Dallas County, Texas, 75212, United States
About the Role
The Data Foundations team is seeking a Data Engineer ready to own meaningful work from end to end. In this role, you will design and deliver production-grade data pipelines, ensuring the data your team ships is trustworthy, well-defined, and ready for impact. You will actively leverage AI tools like Claude to move faster and build smarter, bringing solid engineering fundamentals and an AI-first mindset to everything you create.
You will architect and implement ELT/ETL pipelines using Databricks and dbt, building robust data workflows on Azure to support both batch and near-real-time use cases. Your ownership extends to data quality and reliability; you will define schemas, freshness SLAs, and ownership boundaries so that downstream consumers, including the Reporting team, can depend on your output.
Beyond building, you will write clean, testable Python and SQL, contribute to CI/CD pipelines in Azure DevOps, and lead code reviews focused on quality and long-term maintainability. You will tune systems for performance and cost, optimizing Databricks notebooks, dbt models, and Snowflake queries to meet SLAs without unnecessary cloud spend. Working closely with the Reporting team and product managers, you will deliver data products that directly support business decisions for Growth and Emerging Business.
You will operate effectively within Agile sprints, owning your commitments and communicating progress transparently. As a primary on-call responder for pipelines in your domain, you will own incident triage and resolution, translating learnings into platform improvements.
Work location
Work model: On-site
2021, Postal Way, Dallas, Dallas County, Texas, 75212, United States
Dallas, Texas
Key Responsibilities
- check_circleDesign and implement ELT/ETL pipelines using Databricks and dbt
- check_circleBuild robust data workflows on Azure to support batch and near-real-time use cases
- check_circleDefine data schemas, freshness SLAs, and ownership boundaries to ensure data quality
- check_circleUse AI tools like Claude to generate code and automate engineering tasks
- check_circleWrite clean, testable Python and SQL code and contribute to CI/CD pipelines
- check_circleProfile and optimize Databricks notebooks, dbt models, and Snowflake queries for performance
- check_circlePartner with Reporting teams to deliver data products that support business decisions
- check_circleServe as primary on-call responder for pipeline incidents and lead incident resolution
- check_circleOperate within Agile sprints, own commitments, and participate in planning and retrospectives
Requirements
- verifiedBachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience
- verified2-4 years of experience in data engineering or a closely related software engineering role
- verifiedStrong SQL and Python skills
- verifiedHands-on experience with Databricks (Spark, Delta Lake) and Snowflake
- verifiedExperience building pipelines on Azure (ADF, ADLS, or equivalent)
- verifiedExperience with dbt for data transformation and modeling
- verifiedSolid Git workflow practices and CI/CD experience, ideally with Azure DevOps
- verifiedDemonstrated use of AI tools (Claude, GitHub Copilot, or similar)
- verifiedExperience working in Agile/Scrum teams
Nice to Have
Familiarity with data quality frameworks such as Great Expectations or dbt tests. Experience with orchestration tools like Airflow or Azure Data Factory pipelines.
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Skills, education and keywords
Skills: Databricks, DBT, Azure, Adls, Adf, Claude, Python, SQL, Azure Devops, Git.
Education: Bachelor's degree in Computer Science, Engineering, or Data Science, or equivalent experience.
Frequently asked questions about Data Engineer with Databricks, SQL at Apptad
What does a Data Engineer with Databricks, SQL at Apptad do?expand_more
A Data Engineer with Databricks, SQL at Apptad is responsible for the following: Design and implement ELT/ETL pipelines using Databricks and dbt; Build robust data workflows on Azure to support batch and near-real-time use cases; Define data schemas, freshness SLAs, and ownership boundaries to ensure data quality; and Use AI tools like Claude to generate code and automate engineering tasks.
What are the requirements for this Data Engineer with Databricks, SQL role?expand_more
Apptad is looking for candidates who meet the following requirements: Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience; 2-4 years of experience in data engineering or a closely related software engineering role; Strong SQL and Python skills; Hands-on experience with Databricks (Spark, Delta Lake) and Snowflake; Experience building pipelines on Azure (ADF, ADLS, or equivalent); and Experience with dbt for data transformation and modeling.
Where is the Data Engineer with Databricks, SQL role at Apptad located?expand_more
Data Engineer with Databricks, SQL at Apptad is based in 2021, Postal Way, Dallas, Dallas County, Texas, 75212, United States. This is a on-site role.
Is this Data Engineer with Databricks, SQL job remote, hybrid, or on-site?expand_more
Apptad has listed this Data Engineer with Databricks, SQL role as on-site.
How much experience is required for this Data Engineer with Databricks, SQL role?expand_more
Data Engineer with Databricks, SQL at Apptad typically requires 2–4 years of relevant experience at the mid level level.
What skills do you need for the Data Engineer with Databricks, SQL role at Apptad?expand_more
Key skills for Data Engineer with Databricks, SQL at Apptad include Databricks; DBT; Azure; Adls; Adf; Claude; Python; and SQL.
What education is required for Data Engineer with Databricks, SQL at Apptad?expand_more
Educational requirements for this role: Bachelor's degree in Computer Science, Engineering, or Data Science, or equivalent experience.
What category does the Data Engineer with Databricks, SQL role belong to?expand_more
Data Engineer with Databricks, SQL at Apptad is part of the it job category on Recrutus.