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Day Shift Databricks Jobs (NOW HIRING)

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... Databricks Certified Apache Spark Developer.

... a one-day turnaround KPI * Support the annual general rate increase process along with the ... Databricks certifications * Six Sigma or process improvement certifications (given the cross ...

... Databricks) As a Data Analyst on the Advisory Data & Research team, you'll own analytical ... day-to-day work to broader strategic goals. • Spot data quality problems before they become ...

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Day Shift Databricks information

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$14

$23

$33

How much do day shift databricks jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for day shift databricks in the United States is $23.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $27.88 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Databricks vs Data Engineer?

AspectDay Shift DatabricksData Engineer
CredentialsTypically requires Databricks certifications, SQL, Python, and cloud platform knowledgeRequires similar skills, often with certifications in cloud platforms (AWS, Azure), SQL, Python, and data modeling
Work EnvironmentCollaborates within data teams, often in cloud-based environments, during daytime hoursWorks on data pipelines, infrastructure, and architecture, usually in similar cloud or on-premise settings
Industry UsageCommon in tech, finance, and healthcare sectors utilizing Databricks platformWidely used across industries for building and maintaining data systems

While both roles require data processing skills and cloud platform knowledge, Day Shift Databricks focuses on using the Databricks platform for data analytics, whereas Data Engineers design and build data pipelines and infrastructure. The roles often overlap but differ in scope and specific platform expertise.

More about Day Shift Databricks jobs
What cities are hiring for Day Shift Databricks jobs? Cities with the most Day Shift Databricks job openings:
What are the most commonly searched types of Shift Databricks jobs? The most popular types of Shift Databricks jobs are:
What states have the most Day Shift Databricks jobs? States with the most job openings for Day Shift Databricks jobs include:
Infographic showing various Day Shift Databricks job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $49,110 per year, or $23.6 per hour.
AIA-MLEU-AZURE DATA LEAD

$65.50 - $85.25/hr

Contractor

Posted 17 days ago


Job description

Job title AZURE DATA LEAD Job summary Design Build Test Deploy Support data processing components and systems utilizing cloud compute technologies including Azure Cloud. Experience 10to14yrs Required Skills Technical Skills- Microsoft SSIS Azure Data Factory Databricks Spark Domain Skills- Automotive Industry Nice to have skills Technical Skills- MS Power BI Azure DW Azure Storage Domain Skills- Technology Microsoft Data Management Shift Day Roles & Responsibilities Responsibilities: Design and build data processing components and systems utilizing cloud compute technologies including Azure Cloud. Build ETL pipelines using workflow management applications such as SSIS Azure Data Factory and distributed computing such as Databricks Spark . Acquire analyze combine synthesize and store data from a wide range of internal and external sources as it pertains to system development. Experience with SAP systems will be plus. Builds and tests CI/CD deployment pipelines for data system components. Required Qualifications: 10+ years of experience in data engineering data warehousing or related field. Deep understanding relational database systems modern Data warehouse platforms like Azure SQL Synapse. Mastery of SQL Data warehouse design and implementation experience in cross-functional area like Sales & Distribution Supply Chain Finance Marketing etc. Experience building and automating data system components that enable - Data acquisition cleansing and persistence data engineering Experience with Azure technologies such as Storage solutions Azure Blob storage Azure Data Lake Storage gen2 Azure SQL Database etc. Deployment through a CI/CD pipeline with Azure DevOps preferred Experience with analytics tools such as Databricks Spark PySpark etc. Experience in the full data engineering life-cycle from business understanding to building operational systems. Must have excellent data problem solving skills communication skills and can execute alone but is an awesome team player. Excellent teamwork coordination influencing and communication skills. Job Location Primary: USILCIAC02-Chicago - IL USA CLT Alternate: Demand Requires Travel-N Certification(s) Required-NA
Hours : 8:00am to 5:00pm
Education :
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