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Databricks Engineering Manager Jobs (NOW HIRING)

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Partner with technical managers, analysts, and business stakeholders to gather requirements and ...

CGI Inc.

Senior Databricks Engineer

$107K - $146K/yr

Software Development/ Engineering Main location: United States, Remote Position ID:J0826-1823 ... schema management, checkpointing, incremental processing, backfill/reprocessing, and production ...

Databricks

Engineering Manager - Streaming

Bellevue, WA · On-site

$181K - $253K/yr

P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We're seeking a dedicated Engineering Leader to spearhead Spark™ Structured Streaming development ...

Scadea

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

Core Databricks Engineering: Design, build, and optimize end-to-end data pipelines entirely within ... Implement and manage data access, security, schemas, and lineage across the platform using ...

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How much do databricks engineering manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for databricks engineering manager in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Databricks Engineering Manager job openings in the United States as of July 2026, with employment types broken down into 4% As Needed, 90% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Databricks Engineer Manager - US NY

Manhattan, NY • Hybrid

Kubrick Group
See more jobs at Kubrick Groupexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

The opportunity

We are seeking a Databricks Engineering Manager to lead delivery on client engagements, own outcomes for defined workstreams, and grow the capability of our delivery teams

About Kubrick

Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact.

We work with organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra.

What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers.

The opportunity

We’re looking for an experienced Data Engineer with expertise in Databricks, Apache Spark, Delta Lake, Python and SQL to lead technical delivery in our innovative client projects. You’ll design, build, and optimise scalable cloud-based data pipelines on platforms like AWS, Azure, or GCP, while providing technical leadership within Kubrick’s delivery squads.

In this role, you’ll collaborate with clients and internal teams, translate business requirements into robust data solutions, and help grow Kubrick’s Databricks capabilities. Strong problem-solving, communication skills, and a client-focused mindset are essential.

What we offer:

  • Leadership opportunities on high-impact data projects

  • Continuous learning and Kubrick-funded certifications

  • Collaboration with a top-tier Databricks developer community

You’ll take ownership of meaningful work from early on, contributing to projects that deliver real impact for clients. You’ll be part of a collaborative, high-performing environment where you’re encouraged to think differently, influence outcomes, and continue developing your expertise.

What we’re looking for

  • Must be able to demonstrate Data Engineering with cloud experience

  • Expertise in Databricks, Spark and Delta Lake

  • Advanced Python & SQL skills

  • Experience with CI/CD, automated testing, and data governance

We don’t expect you to tick every box. If you’re excited about the role and believe you have the potential to succeed, we’d still love to hear from you.

Benefits

  • 15 PTO days plus 11 public holidays (26 days total)

  • 401(k) retirement program with company match up to 3%

  • Healthcare insurance (80% premium employer paid)

  • Dental insurance

  • Vision insurance

  • Long-term disability insurance (100% employer paid)

  • Additional caregiver leave

  • Enhanced maternity, adoption and paternity leave

  • Financial wellbeing support

  • Flexible working options

  • Learning and development opportunities, including professional certifications

  • Internal mobility and career development opportunities

  • Mental health, diversity and inclusion support

  • Additional voluntary benefits

We also offer a hybrid working environment with a requirement to be in our NY office 2-3 days a week/client meetings and home working

Diversity & inclusion

We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent.

If you need any adjustments during the recruitment process, just let us know. We're here to support you.