2

Part Time Azure Databricks Jobs (NOW HIRING)

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs, and ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

next page

Showing results 1-20

Part Time Azure Databricks information

See salary details

$11

$58

$79

How much do part time azure databricks jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for part time azure databricks in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Azure Databricks professional, and why are they important?

To thrive as a Part Time Azure Databricks professional, you need a solid background in data engineering, SQL, Python or Scala programming, and experience with cloud data platforms, ideally supported by a relevant degree or certification. Familiarity with Azure Databricks, Spark, Azure Data Lake, and tools like Azure Data Factory is typically required, along with certifications such as Azure Data Engineer Associate. Strong analytical thinking, problem-solving, and effective communication are valuable soft skills for collaborating with teams and translating data insights into business value. These skills are crucial for efficiently designing, developing, and optimizing data solutions that drive organizational decision-making and performance.

What is the difference between Part Time Azure Databricks vs Part Time Data Engineer?

AspectPart Time Azure DatabricksPart Time Data Engineer
Required SkillsAzure Databricks, Spark, SQL, PythonSQL, Python, ETL, cloud platforms
Work EnvironmentCloud-based, collaborative data platformData pipelines, database management, cloud or on-premises
CertificationsAzure Data Engineer, Databricks certificationsAzure Data Engineer, AWS Data Analytics certifications
Industry UsageData analytics, machine learning projectsData pipeline development, data warehousing

Part Time Azure Databricks focuses on using the Azure platform and Spark for data analysis and machine learning, while Part Time Data Engineer involves building and maintaining data pipelines across various platforms. Both roles require similar cloud and SQL skills but differ in their primary focus and tools used.

Is Databricks a high paying job?

A part-time role involving Azure Databricks typically offers lower salaries compared to full-time positions, but compensation can vary based on experience, location, and specific responsibilities. Generally, roles requiring expertise in cloud platforms and data engineering tend to be well-paid within the tech industry.

Do Databricks have remote positions?

Part-time roles involving Azure Databricks often offer remote work options, depending on the company's policies and the specific position. Many organizations in data engineering and analytics provide remote opportunities for such roles, especially for candidates with skills in cloud platforms, Spark, and data processing tools.

What is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced professionals with advanced skills can earn higher salaries, especially in competitive markets or with specialized expertise in Spark and cloud environments.

Is Azure Databricks in demand?

Azure Databricks is a popular cloud-based data analytics platform used by organizations for big data processing and machine learning. Professionals with skills in Azure, Spark, and data engineering are increasingly sought after, making roles involving Azure Databricks in high demand across various industries.

What are some common challenges faced by part-time Azure Databricks professionals, and how can they be managed effectively?

Part-time Azure Databricks professionals often encounter challenges such as staying up-to-date with the rapidly evolving Databricks platform and efficiently collaborating with full-time team members on shared projects. Balancing workload within reduced hours can also be demanding, particularly when troubleshooting complex data pipelines or meeting project deadlines. To manage these challenges, it's helpful to maintain clear communication with the team, leverage collaboration tools like Microsoft Teams, and allocate focused blocks of time for learning and project work. Proactively setting expectations about availability and deliverables also ensures smoother workflow integration.

What is a Part Time Azure Databricks job?

A Part Time Azure Databricks job involves working with Azure Databricks, a cloud-based analytics platform, on a part-time basis. Professionals in this role typically develop, manage, and optimize big data and AI solutions using Databricks notebooks, Spark, and other Azure services. Part-time positions may include responsibilities such as data engineering, data analysis, or machine learning model development, but with flexible or reduced working hours. This role is ideal for those seeking work-life balance or supplemental employment while leveraging their expertise in cloud data platforms.
More about Part Time Azure Databricks jobs
What cities are hiring for Part Time Azure Databricks jobs? Cities with the most Part Time Azure Databricks job openings:
What are the most commonly searched types of Azure Databricks jobs? The most popular types of Azure Databricks jobs are:
Infographic showing various Part Time Azure Databricks job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 90% Full Time, 1% Part Time, 5% Contract, and 1% Summer. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Senior Product Manager (Asset Management)

UNAVAILABLE

Boston, MA • On-site

$134K - $201K/yr

Part-time

Medical, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start‑up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem‑solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Job Description

As a Senior Product Manager, you will work closely with business and technology stakeholders to lead end‑to‑end requirements and support agile delivery across asset management platforms. This role blends deep domain analysis, data fluency, and hands‑on execution, translating complex investment and operational workflows into actionable user stories and driving cross‑functional delivery.

Responsibilities

Business & Domain Analysis

  • Lead requirements elicitation sessions with business and operations across front to back office teams in asset management with special focus on investment performance calculations, attribution, portfolio and benchmark data
  • Translate complex asset management business processes into user stories, acceptance criteria, and functional specifications
  • Map current‑state and future‑state workflows across front, middle, and back office operations, identifying gaps and optimization opportunities

Agile Delivery & Part-Time PM (20–40%)

  • Facilitate agile ceremonies including sprint planning, stand‑ups, retrospectives, and backlog refinement
  • Own and groom the product backlog in partnership with the Product Owner — stories well‑defined, estimated, and prioritized
  • Track sprint velocity, manage dependencies, and communicate delivery status to stakeholders and leadership
  • Coordinate cross‑functional delivery across data engineering, analytics, and QA workstreams

Technical & Data Collaboration

  • Write and maintain SQL queries for data validation, reconciliation, and ad hoc analysis supporting performance and benchmark data pipelines
  • Build BI visualizations, preferably using Power BI, to drive decision‑making and executive readouts
  • Support adoption of AI‑augmented practices across the SDLC — from AI‑assisted requirements drafting and test case generation to automated documentation and delivery acceleration
Qualifications

Required Qualifications

  • 5+ years as a Business Systems Analyst or equivalent role within asset management or financial services
  • Strong understanding of front, middle, and back office operations — trade lifecycle, portfolio accounting, investment performance, reconciliation, client reporting
  • Working knowledge of financial instruments and products (equities, fixed income, derivatives, alternatives, ETFs, mutual funds)
  • Demonstrated ability to independently drive requirements gathering, stakeholder workshops, and documentation with minimal supervision
  • Experience facilitating agile ceremonies and performing planning/coordination in a Scrum or Kanban environment
  • Proficiency in SQL for querying, data validation, and analytical support
  • Awareness of how AI and automation tools (e.g., GitHub Copilot, LLM‑based assistants, AI test generation) are transforming the SDLC, with willingness to champion adoption

Preferred Qualifications

  • CFA charterholder or progress toward CFA designation (Level I, II, or III candidate); CIPM, CAIA, or equivalent certifications also valued
  • Understanding of investment performance measurement (TWR, MWR, attribution analysis, benchmark construction) and risk measures (VaR, tracking error, Sharpe ratio
  • Experience with Power BI for dashboard development or data visualization
  • Working knowledge of Python for scripting, data manipulation, or automation
  • Familiarity with cloud data platforms such as Microsoft Fabric, Azure Synapse, Snowflake, or Databricks
  • Experience with JIRA, Azure DevOps, or equivalent agile planning tools

What We Value

  • Self‑starter mindset - you take ownership, anticipate needs, and drive work forward without being asked
  • Intellectual curiosity about markets, instruments, and the investment management value chain
  • Strong communication skills bridging technical teams and business stakeholders
  • Forward‑looking perspective on AI in the SDLC - not just awareness, but enthusiasm for experimenting with and integrating AI tools into planning, requirements, testing, and delivery
  • Collaborative spirit with a bias toward clarity, transparency, and continuous improvement
Additional Information

Pay Range: $134,000-$201,000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

Benefits of Working Here:

  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work‑life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

#J-18808-Ljbffr