Databricks Engineer

Posted 7 Hours Ago
3 Locations
In-Office or Remote
46K-102K Annually
Senior level
Information Technology
The Role
Designs, develops, tests, and deploys scalable batch and streaming data pipelines using Databricks, Python, SQL, and PySpark. Builds ingestion, transformation, governance, monitoring, and data quality frameworks across Azure or AWS environments. Develops analytical data models and CI/CD processes, optimizes Spark performance, troubleshoots deployments, and collaborates with data scientists, analysts, business users, and technical teams. Provides technical leadership, mentoring, documentation, and support in an agile consulting environment.
Summary Generated by Built In

Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world’s most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what’s possible - while building a career filled with growth, balance, and purpose.

 

We currently have a career opportunity for a  Databricks Data Engineer to join our AI Data Platforms-Data & Analytics-Delivery Team 

 

The Databricks Data Engineer will be driving the design, automation, and scaling of our cloud-native data platform.

 

Job Overview:

As a Databricks Engineer, you’ll work closely with engineering and business leaders to design and build data integration solutions that drive enterprise analytics and decision-making. You’ll leverage cloud technologies, CI/CD pipelines, and Power BI to deliver scalable, high-performance data solutions. The ideal candidate excels in ETL programming, data integration, and data modeling, enabling self-service analytics and ensuring data accessibility, governance, and integrity. You’ll be part of an agile team, participating in Scrum ceremonies and delivering continuous value to stakeholders.

 

Perficient is always looking for the best and brightest talent, and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

 

Responsibilities
  • As a technical member, collaborate with a small team of data engineers, driving excellence in data platform evolution. Promote a culture of innovation, accountability, and continuous improvement.

  • Work with the Lead on the technical planning and requirements gathering.
  • Serve as a technical lead and mentor. Provide technical support and leadership in the development and continual improvement of service.
  • Develop and maintain effective working relationships with team members.
  • Demonstrate the ability to adapt and work with team members of various experience levels.
  • Work with the data engineering team to define and develop data ingestion, validation, transformation, and data engineering code.
  • Lead the design, development, testing, and deployment of scalable batch/streaming data pipelines using Databricks. Data jobs include data ingestion, cleansing, transformation, aggregation, governance, and sharing.
  • Define and enforce best practices for Databricks usage, including notebook development, job orchestration, metadata-driven frameworks, data quality checks, and optimization of Spark job performance.
  • Develop Databricks platform components using Python, SQL, PySpark, Notebook Repositories (medallion architecture L2, L3, L4), and CI/CD.
  • Integrate Databricks solutions with cloud platforms like Azure (ADF, ADLS, Event Hub, Azure DevOps) or AWS (S3, Lambda, Glue).
  • Design and implement analytical data models and star schemas for BI and AI usage.
  • Collaborate with data scientists and analysts to meet data requirements.
  • Implement logging, monitoring, and exception handling for data workflows.
  • Participate in code reviews and CI/CD pipeline development.
  • Document code artifacts and participate in developing user documentation and runbooks
  • Troubleshoot deployment to various environments and provide test support.
  • Participate in design sessions, demos, and prototype sessions, testing, and training workshops with business users and IT associates
Qualifications

 

  • Passionate developer with 5+ years of data engineering experience, with at least 3 years in a lead or senior data engineer role.
  • Minimum 3 years of hands-on Databricks experience using Python, SQL, Pyspark, Notebook Repositories (medallion architecture L2, L3, L4), CI/CD.
  • Minimum 3 years of Databricks experience in developing large-scale data processing/data storage/data distribution systems.
  • Experience with AWS and/or Azure cloud environment.
  • Experience with various Notebook Repositories (medallion architecture L2, L3, L4) as well as unit testing frameworks.
  • DevOps experience with Databricks CI/CD (Databricks Asset Bundles) and Git
  • Minimum 3 years of experience working in a large multi-vendor environment with multiple teams as a part of a project
  • Minimum 5 years of working with a complex Big Data/Lakehouse environment
  • Minimum of 5 years of experience with JIRA/GitHub/Git and other code management toolsets
  • Experience with ELT/ETL development, patterns, and tooling is recommended
  • Experience with SQL, including Postgres, RDBMS platforms
  • Experience with various IDE and code repositories as well as unit testing frameworks.
  • Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
  • Familiarity with AI-enhanced platforms is a plus.
  • A solid understanding of AI capabilities and limitations, including ethical considerations, is expected.
  • Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments.
  • Ability to produce high-quality products within deadlines
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

    Preferred Skills & Education:

  • Certification in Databricks, Spark, AWS, Azure, or other cloud platforms.
  • Experience with ETL/ELT data platforms, including Informatica, DataStage, Fivetran, Matillion, and dbt.
  • Familiarity with ML capabilities such as MLflow, TensorFlow, or Scikit-learn is a plus.
  • Master’s degree in Computer Science or related field.
  • Client-facing or consulting experience is highly preferred.

 

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.​

 

Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.​

 

Applications will be accepted until the position is filled or the posting is removed.​

 

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $45,864 to $101,520. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview. 


#LI-SV1

 

About UsPerficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.

Skills Required

  • 5+ years of data engineering experience, including at least 3 years in a lead or senior data engineer role
  • 3+ years of hands-on Databricks experience using Python, SQL, PySpark, Notebook Repositories, medallion architecture, and CI/CD
  • 3+ years of Databricks experience developing large-scale data processing, storage, and distribution systems
  • Experience with AWS and/or Azure cloud environments
  • Experience with Notebook Repositories, medallion architecture, and unit testing frameworks
  • DevOps experience with Databricks CI/CD, Databricks Asset Bundles, and Git
  • 3+ years working in a large multi-vendor environment with multiple teams as part of a project
  • 5+ years working with a complex Big Data or Lakehouse environment
  • 5+ years of experience with JIRA, GitHub, Git, and other code management toolsets
  • Experience with ELT/ETL development patterns and tooling
  • Experience with SQL, including PostgreSQL and RDBMS platforms
  • Experience with IDEs, code repositories, and unit testing frameworks
  • Ability to leverage AI tools to enhance productivity and support data-informed work
  • Understanding of AI capabilities, limitations, and ethical considerations
  • Ability to produce high-quality products within deadlines and manage multiple responsibilities
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
  • Certification in Databricks, Spark, AWS, Azure, or another cloud platform
  • Experience with Informatica, DataStage, Fivetran, Matillion, or dbt
  • Familiarity with MLflow, TensorFlow, or Scikit-learn
  • Master's degree in Computer Science or a related field
  • Client-facing or consulting experience

Perficient Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Perficient and has not been reviewed or approved by Perficient.

  • Retirement Support — Retirement offerings are positioned as robust, including a 401(k) with company match, an Employee Stock Purchase Plan, and an option for after-tax contributions (mega backdoor Roth). Eligibility details are described as clear for core benefits, supporting confidence in plan access timing.
  • Parental & Family Support — Parental benefits are described as structured, with paid maternity recovery time and paid parental leave for all new parents. Company-paid disability coverage is also highlighted, strengthening the overall family support posture.
  • Fair & Transparent Compensation — Compensation is characterized as generally market-aligned for a portion of roles, with examples of pay being viewed as fair or decent in certain contexts (such as remote or region-specific situations). Variable pay potential appears stronger in some tracks, improving perceived competitiveness for those roles.

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The Company
HQ: Saint Louis, MO
3,295 Employees
Year Founded: 1997

What We Do

Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, we bring big thinking and innovative ideas, along with a practical approach to help the world’s largest enterprises and biggest brands succeed.

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