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Junior Databricks Jobs (NOW HIRING)

GAQ127R160 About the Role As an IT Endpoint Engineer focused on Mobile Security and Device Management, you will be a core technical contributor on the IT Endpoint Team at Databricks. You will own and ...

They are seeking a highly motivated Junior Data Engineer to support the US National Defense ... Responsibilities : • Assist in the design and development of ETL/ELT workflows using Databricks ...

Staff Data Scientist

San Francisco, CA · On-site

$192K - $260K/yr

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... Mentor and guide junior data scientists on the team by helping with project planning, technical ...

Guide and mentor junior team members, sharing practical insights across the data and AI lifecycle ... Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are ...

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required ... Experience working with big data in a cloud environment , particularly Azure and Databricks

At Databricks, our core principles are at the heart of everything we do; creating a culture of ... Coach junior Solutions Architects and teams on use case prioritization and building technical ...

Mentor and guide junior engineers and team members in best practices related to Azure Databricks and data engineering. Work closely with cross-functional teams (data science, analytics, business ...

Guide and mentor junior team members, sharing practical insights across the data and AI lifecycle ... Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are ...

P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems ... Mentor and guide junior data scientists on the team by helping with project planning, technical ...

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Mentor and guide junior engineers and team members in best practices related to Azure Databricks and data engineering. * Work closely with cross-functional teams (data science, analytics, business ...

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Junior Databricks information

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$33.5K

$71.8K

$109.5K

How much do junior databricks jobs pay per year?

As of Jun 6, 2026, the average yearly pay for junior databricks in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior Databricks Engineer, you need a foundational understanding of data engineering, SQL, and programming languages like Python or Scala, usually supported by a relevant degree. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and optionally Databricks certifications is highly valuable. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this collaborative, technical environment. These skills are vital for building efficient data pipelines, ensuring data quality, and contributing to data-driven business decisions.

What is the difference between Junior Databricks vs Data Engineer?

AspectJunior DatabricksData Engineer
Required SkillsBasic knowledge of Databricks, Spark, SQL, PythonAdvanced programming, ETL, data modeling, cloud platforms
Experience LevelEntry-level or 1-2 yearsMid to senior level, 2+ years
Work EnvironmentCollaborates with data teams, uses Databricks platformDesigns and builds data pipelines, manages data infrastructure
CertificationsOptional Databricks certificationsOften required certifications like AWS, Azure, or GCP data certifications

In summary, a Junior Databricks role focuses on entry-level tasks within the Databricks platform, often supporting data engineering projects. A Data Engineer has broader responsibilities, including designing and maintaining complex data pipelines across various platforms. Both roles require some technical skills, but Data Engineers typically have more experience and a wider skill set.

What are some typical challenges a Junior Databricks professional might encounter when starting in this role?

As a Junior Databricks professional, you may initially find it challenging to adapt to the platform's unified analytics workspace, especially if you're new to both cloud-based data engineering and collaborative workflows. Common hurdles include learning how to optimize Spark jobs for performance, understanding workspace permissions, and efficiently using Databricks notebooks for both development and documentation. However, most teams support newcomers through onboarding resources, mentorship, and code reviews, and you’ll have opportunities to collaborate closely with data engineers, analysts, and data scientists. Over time, these experiences will help you develop robust data engineering skills and prepare you for more advanced responsibilities.

What is a Junior Databricks Engineer?

A Junior Databricks Engineer is an entry-level professional who works with Databricks, a data analytics and machine learning platform built on Apache Spark. Their responsibilities typically include developing and maintaining data pipelines, assisting with data processing and analysis, and collaborating with data scientists and engineers to implement solutions. They may also help optimize data workflows and ensure data quality within the Databricks environment. Junior engineers usually have a foundational knowledge of programming, data engineering concepts, and cloud services. This role is ideal for those beginning their careers in data engineering or analytics.
What are the most commonly searched types of Databricks jobs? The most popular types of Databricks jobs are:
Sr. Solutions Architect - Games

Sr. Solutions Architect - Games

Databricks

Mountain View, CA • On-site

$196K - $274K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

FEQ426R760While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!The Impact You Will HaveDevelop customer engagement strategies in partnership with Account Executive(s) in your designated territory.Coach junior Solutions Architects and teams on use case prioritization and building technical champions.You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.What We Look For7+ years of customer-facing technical experience.Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.Hands-on expertise with complex proofs-of-concept and public cloud platform(s).Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.Can travel up to 30% when needed.Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices.

The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$196,200—$274,650 USDZone 2 Pay Range$196,200—$274,650 USDZone 3 Pay Range$196,200—$274,650 USDAbout DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.J-18808-Ljbffr