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

As of May 31, 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 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.

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.

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:
What job categories do people searching Part Time Azure Databricks jobs look for? The top searched job categories for Part Time Azure Databricks jobs are:
Part Time Azure Databricks jobs near you
Infographic showing various Part Time Azure Databricks job openings in the United States as of May 2026, with employment types broken down into 17% As Needed, 49% Full Time, 17% Temporary, and 17% Nights. Highlights an 100% Physical job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Manager, HR Data Engineer

Manager, HR Data Engineer

Metropolitan Transportation Authority

New York, NY • On-site

$110K - $123K/yr

Full-time, Part-time

Posted 22 days ago

Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

37th of 76 rated public transport

Job description

Job ID: 13709
Business Unit: MTA Headquarters
Location: New York, NY, United States
Regular/Temporary: Regular
Department: Human Resources Data Science
Date Posted: Nov 10, 2025
Description
JOB TITLE:
Manager , HR Data Engineer
DEPT/DIV:
People Department
WORK LOCATION:
2 Broadway
FULL/PART-TIME
FUL L
SALARY RANGE:
$110,000 - $123,000
DEADLINE:
Until filled
This position is eligible for teleworking , which is currently one day per week. New hires are eligible to apply 30 days after their effective hire date.
Opening:
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.
Position Objective:
This position will report to the Director of HR Data Science and support the day-to-day data pipeline initiatives to design, build, and maintain ease for data structures to facilitate reporting and monitor key performance indicators. The incumbent will collaborate across Human Capital Management disciplines to identify internal/external data sources to design table structure, define ETL strategy, automate quality assurance checks, and implement scalable ETL solutions.
Responsibilities:
  • Ensure that all assignments are completed with the highest quality and within agreed-upon Service Level agreement guidelines and Key Performance Indicator (KPI) targets.
  • Create and conduct a project/architecture design review .
  • Proficient knowledge of Azure Data Factory, Databricks, & Azure Delta Lake.
  • Experience programming languages (e.g., Python, R).
  • Working experience in data extraction using API.
  • Develop HR data pipelines and reports with advanced SQL programming language and maintain Data Warehousing/Data Lakes/Data Hubs and Analytical reporting Environment.
  • Work with IT teams to collect required data from internal and external systems and troubleshoot HR system issues.
  • Design and build modern data management solutions and create POC when necessary to test new approaches.
  • Create runbooks and actionable alerts as part of the development process.
  • Perform SQL and ETL tuning as necessary.
  • Perform ad hoc analysis as necessary.
  • Identify and implement continuous improvement initiatives as assigned.
  • Other duties as assigned.

Qualifications:
Knowledge/Skills/Abilities:
  • Strong understanding of data modeling principles, including Dimensional modeling, data normalization principles, etc.
  • Proficient understanding of SQL Engines and able to develop advanced queries and analytics
  • Familiarity with data exploration/data visualization tools like MS Power BI, PeopleSoft HCM, JobVite ,
  • JDXpert , Jetdocs, or Oracle Analytics CloudAbility to think strategically, analyze, and interpret Human Capital Management and Financial data.
  • Strong communication skills - written and verbal presentations.
  • Excellent conceptual and analytical reasoning competencies.
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Process-oriented with excellent documentation skills, including strong Excel & PowerPoint skills, Visio flows, and mock-up creatio n.

Required Education and Experience:
  • Bachelor's degree in Computer Science , Information Management, Statistics, or Finance or related field. An equivalent combination of education and experience may be considered in lieu of a degree.
  • A minimum of four (4) years of relevant professional experience leading, implementing, and reporting on business key performance indicators in a data warehousing/lake/hub environment.
  • Minimum of four (4) years of experience using SQL for analytics, working with traditional relational databases and/or distributed systems such as PeopleSoft Enterprise Performance Management (EPM ), Hadoop / Hive, BigQuery , Redshift, or Oracle Databases .

P referred:
  • Master's Degree in Computer Science , Information Management, or Statistics
  • Experience programming languages (e.g., Python, R) preferred.
  • Minimum of four (4) years of management experience
  • Minimum of one (1) year of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
  • Understanding of Finance Data and Human Resource Data practices and procedures.
  • Proficient Knowledge of Data Repositories/warehouses/Lakes/Hubs.

Other Information
May need to work outside of normal work hours (i.e., evenings and weekends)
Travel may be required to other MTA locations or other external sites .
According to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission").
Employees driving company vehicles must complete defensive driver training once every three years for current MNR drivers, or within 180 days of hire or transfer for an employee entering an authorized driving position.
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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