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Databricks Engineer Jobs (NOW HIRING)

Treliant LLC

Databricks Engineer

New York, NY · On-site

$160K - $200K/yr

Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff ...

Tata Consultancy Services

Sr. Databricks Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Tata Consultancy Services is seeking a hands-on Sr. Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience ...

Infosys Limited Digital

Databricks Engineer

Houston, TX · On-site

... Data Engineering|Databricks Technical Skills 3 Technology|Big Data - Data Processing|Spark Technical Skills 4 Technology|Analytics - Packages|Python - Big Data Salary min 78903 Salary max 120000 ...

Infosys

Databricks Engineer

Houston, TX · On-site

$78K - $120K/yr

... Programming skills in Python/SQL with exposure to building reusable data frameworks. Knowledge of CI/CD practices for Databricks (Git integration, deployment automation) Additional Required ...

Humana

Databricks Engineer

Louisville, KY · On-site

... programming development * At least 2 years' experience with Databricks, Kafka and API * Familiarity with software development methodologies (Agile, Scrum, etc.) * Applied AI techniques to improve ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

They are seeking an Azure Databricks Engineer to contribute to software application design, coding, and maintaining system stability while collaborating with cross-functional teams to deliver ...

Humana

Databricks Engineer

Louisville, KY

... programming development * At least 2 years' experience with Databricks, Kafka and API * Familiarity with software development methodologies (Agile, Scrum, etc.) * Applied AI techniques to improve ...

Humana

Databricks Engineer

Louisville, KY · On-site

... programming development * At least 2 years' experience with Databricks, Kafka and API * Familiarity with software development methodologies (Agile, Scrum, etc.) * Applied AI techniques to improve ...

Humana, Inc.

Databricks Engineer

Louisville, KY · On-site

... programming development * At least 2 years' experience with Databricks, Kafka and API * Familiarity with software development methodologies (Agile, Scrum, etc.) * Applied AI techniques to improve ...

Deloitte

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Deloitte

Sr Databricks Data Engineer

Cleveland, OH

$111K - $133K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

United Airlines

Azure Databricks Engineer

Atlanta, GA · On-site

$93K - $128K/yr

We are looking for an experienced Azure Databricks Engineer with strong expertise in cloud based data engineering ETL development and distributed data processing , The ideal candidate should have ...

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Databricks Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do databricks engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for databricks engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
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What cities are hiring for Databricks Engineer jobs? Cities with the most Databricks Engineer job openings:
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Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Databricks Engineer

Databricks Engineer

Treliant LLC

New York, NY • On-site

$160K - $200K/yr

Temporary

Medical, Retirement, PTO

Posted 18 days ago

Job description

Overview
Treliant is a global consulting firm serving banks, mortgage originators and servicers, FinTechs, and other companies providing financial services. We are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges. We provide data-driven, technology-enabled advisory, implementation, and staffing solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of our clients. Founded in 2005, Treliant is headquartered in Washington, DC, with offices in New York, London, Belfast, Northern Ireland and Łódź, Poland. For more information visit www.treliant.com.
Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, genders, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual's worldview, experiences and system of beliefs ("the principles"). We believe in championing every voice and ensuring everyone's full potential.
Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff in a hybrid role in the Greater New York City metro area.
Primary Location: Hybrid - Greater New York City metro area
Primary Location Salary Range: $160,000 - $200,000
Responsibilities
The client, a large bank, is in the process of centralizing its key reporting and aggregation processes on cloud platforms.
In 2024, the intention is to centralize cashflow aggregation onto a platform based on Databricks technologies (Databricks and Deltalake).
The project involves collecting both actual and forecast cashflows from both real-time and batch data sources, cleaning and enriching the data, and storing the resulting aggregated data in Deltalake for use in reporting.
Qualifications
Technical skills:
Successful candidates will have played an important role in at least one Databricks platform implementation. Experience in data migration, data integration, and delivery of data warehouses is also advantageous.
  • Databricks: the candidate should be familiary with ETL/ELT in Databricks, with Medallion architecture and with Deltalake.
  • Other relevant technologies include:
    • Streaming technologies such as Kafka
    • Delta Share and Deltalake Connector
    • SQL, Python and PySpark

Domain knowledge:
The successful candidate will have a background in financial products and processes. Relevant areas of domain knowledge include:
  • Cashflow forecasting and liquidity management
  • Financial products including securities such as swaps, and banking products such as loans
  • Reference data including counterparty and business hierarchy data
  • Regulatory and risk management reporting needs
  • Experience of the challenges of aggregating data in bulk across business units and asset classes

Other capabilities:
This role is likely to have an element of communication and leadership, rather than being purely a technical role within the team.
  • The bank is at a relatively early stage in implementing the transition to Databricks.
  • The role will involve guiding and understanding aspects of the migration such as cost management and use case prioritization.
  • The role will involve communicating with data providers and data consumers to understand the requirements and to source and map the needed data fields.

Benefits
Treliant offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefit package that reflects our commitment to creating a diverse and supportive workplace. In addition to a competitive base salary, candidate is eligible for incentive pay as well as a full range of health benefits, vacation plan, and 401k plan.
If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant. We invest in people, and challenge you to advance your career while achieving your aspirations and goals. Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation. If you strive for excellence and seek an inclusive environment apply on line www.treliant.com and follow us on LinkedIn.
Treliant LLC is an Equal Opportunity Employer and does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, religion, age, disability, or military status in employment or provision of services. When contacted for an interview, an applicant who requires special accommodations due to a disability should notify the office so that proper arrangements can be made.

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