Databricks Data Engineer
Full Job Posting
What You Will Do:
- Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, Delta Lake, and related cloud-native data engineering tools.
- Develop and support batch and streaming data workflows, including ingestion, transformation, validation, and publishing of curated data products.
- Write, optimize, and maintain Python, PySpark, and SQL code for data processing, orchestration, and performance tuning.
- Work with large-scale datasets using Databricks, Spark, Delta Lake, Unity Catalog, and cloud storage services.
- Troubleshoot and resolve data pipeline failures, performance issues, data quality issues, and workflow bottlenecks.
- Translate business and technical requirements into data engineering designs, processing scripts, and job orchestration workflows.
- Perform data validation, quality checks, code reviews, and issue resolution to support accurate and reliable data products.
- Collaborate with cross-functional teams including solution architects, data scientists, analysts, DevOps engineers, and client stakeholders.
- Communicate technical concepts, delivery impacts, and data engineering considerations to technical and non-technical audiences.
- Document pipelines, datasets, data models, workflows, and engineering decisions to support maintainability, transparency, and reuse.
- Follow data governance, security, lineage, and compliance standards within the Databricks platform.
- What You Will Need:
- Bachelor’s degree in computer science, engineering, mathematics, statistics, or another relevant field.
- 3-8 years of relevant experience in data engineering, data architecture, or cloud data platform implementation.
- Strong experience with Python, PySpark, and SQL for data transformation, pipeline development, and data processing.
- Experience with Databricks, Spark, Delta Lake, Unity Catalog, or similar cloud-native data platforms.
- Experience developing batch or streaming data pipelines, ETL/ELT workflows, and reusable data assets.
- Experience with data modeling, data warehousing, data quality validation, and large-scale data processing concepts.
- Ability to troubleshoot technical issues, communicate engineering recommendations clearly, and work effectively in team-based delivery environments.
- Experience applying data governance, access control, lineage, and security practices within cloud data platforms.
- What Would Be Nice to Have:
- 2+ years of hands-on experience with the Databricks platform.
- Experience using Unity Catalog for data governance, schema design, data modeling standards, access controls, lineage, and secure management of enterprise data assets.
- Experience designing and building standard medallion data architectures for scalable ingestion, transformation, quality validation, and curated data delivery.
- Active Databricks Data Engineer Associate, Databricks Data Engineer Professional, or related certification.
- Experience with CI/CD tools and practices for notebooks, workflows, orchestration jobs, and infrastructure deployment.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience working in project-based or consulting delivery environments.
- Familiarity with streaming frameworks, orchestration tools, Terraform, or related data platform administration capabilities.
- The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
- What We Offer:
- Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Qualifications
- Bachelor’s degree in computer science, engineering, mathematics, statistics, or another relevant field.
- Experience with Databricks, Spark, Delta Lake, Unity Catalog, or similar cloud-native data platforms.
- Experience with data modeling, data warehousing, data quality validation, and large-scale data processing concepts.
- Experience with CI/CD tools and practices for notebooks, workflows, orchestration jobs, and infrastructure deployment.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Familiarity with streaming frameworks, orchestration tools, Terraform, or related data platform administration capabilities.
About Guidehouse
Provides management and technology consulting services to diverse organizations.
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