Senior Consultant, Data Engineer (Databricks Experience)
At a glance
Senior Data Engineering role at Infinitive. McLean · full-time.
Infinitive states pay in the role description below.
dataroles summary, based on the employer's posting.
What you'll do
- Build and support data pipelines and ETL workflows in Databricks and related technologies
- Automate deployment and scaling of data infrastructure with Jenkins and Terraform
- Create data models from business needs, including 3NF, dimensional and Data Vault approaches
- Find pipeline and query slowdowns, then improve processing and storage performance
- Set up data quality checks, document engineering practices, and mentor junior teammates
What you bring
- You have hands-on Databricks skills and experience as a data engineer, preferably in cloud environments
- You have used Jenkins and Terraform to automate infrastructure and understand 3NF, dimensional or Data Vault modeling
- You can work with SQL and Python or Scala, and have a bachelor's degree in a related field
Who this fits
This senior role suits an engineer who can shape data infrastructure and guide junior colleagues. You must live in the Washington, D.C. metro area.
From the employer
*Candidates must be local to the Washington D.C. metro area.
About Infinitive:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”
About the Role:
We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault). As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
Responsibilities:
Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies.
DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
Data Modeling: Develop and implement data models based on business requirements, including 3NF, Dimensional, and Data Vault models. Ensure data models adhere to best practices for efficiency, scalability, and maintainability.
Performance Optimization: Identify and address performance bottlenecks in data pipelines and queries. Optimize data processing and storage to improve overall system performance.
Data Quality Assurance: Implement data quality checks and monitoring processes to ensure data accuracy, completeness, and consistency.
Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions.
Documentation and Best Practices: Document data pipelines, infrastructure configurations, and data models. Define and enforce best practices for data engineering and DevOps processes.
Training and Mentorship: Provide guidance and mentorship to junior team members. Conduct training sessions to promote knowledge sharing and skill development within the team.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree preferred.
- Proven experience as a Data Engineer, preferably in a cloud-based environment.
- Strong proficiency in Databricks for data processing and analytics.
- Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation.
- In-depth knowledge of data modeling concepts including 3NF, Dimensional, and Data Vault.
- Proficiency in SQL and programming languages such as Python or Scala.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $90,000.00 - $154,00.00.
Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
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