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Associate Azure Databricks Jobs (NOW HIRING)

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Databricks (ADB), Azure Stream Analytics, * Developer experience using Azure Databases: SQL ... Azure Data Engineer Associate Certification) preferred * Minimum 3 years of experience working on ...

Hexion, Inc.

Senior Azure Data & Platform Engineer

OH · On-site

$53 - $69/hr

Databricks certifications such as Data Engineer Associate or Professional * Databricks accreditations such as Databricks Fundamentals, Azure Platform Architect, or Platform Administrator. * AWS ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior consulting and business development experience a plus

Amerihealth Caritas

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ... As one of the nation's leaders in health care solutions, we offer our associates the opportunity to ...

Amerihealth Caritas

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ... As one of the nation's leaders in health care solutions, we offer our associates the opportunity to ...

Merican

Associate Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Build reliable data pipelines using Azure Databricks, SQL, and Python. * Design and support ... Associate Data Engineer 1-2 years of industry experience in data engineering, data analysis ...

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Associate Azure Databricks information

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$172.5K

How much do associate azure databricks jobs pay per year?

As of Jul 16, 2026, the average yearly pay for associate azure databricks in the United States is $108,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks, and why are they important?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

More about Associate Azure Databricks jobs
What cities are hiring for Associate Azure Databricks jobs? Cities with the most Associate Azure Databricks job openings:
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What job categories do people searching Associate Azure Databricks jobs look for? The top searched job categories for Associate Azure Databricks jobs are:
Associate Azure Databricks jobs near you
Infographic showing various Associate Azure Databricks job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $108,160 per year, or $52 per hour.

Associate Data Engineer - DataBricks

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC • On-site

Full-time

Posted 8 days ago

Job description

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.
In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
SUMMARY:
Join SMBC's Compliance Technology team as a Data Engineer specializing in Azure and Databricks. You will architect and build secure, scalable data pipelines and a cloud-native data platform that powers real-time compliance analytics and regulatory reporting across global markets. Work collaboratively as a team player on mission-critical projects involving complex financial datasets, leveraging Azure Data Factory, Databricks, Delta Lake, and Python to transform raw data into trusted, governed insights. This is a high-impact role where a motivated self-starter owns, end-to-end data engineering initiatives, collaborates with governance teams, and influence the architecture of SMBC's next-generation compliance systems.
PRINCIPAL DUTIES & RESPONSIBILITIES:
  • Own the design and implementation of ETL workflows using Azure Data Factory and Databricks for compliance-related data ingestion and transformation.
  • Integrate and normalize data from multiple structured and unstructured sources, ensuring adherence to strict data quality governance framework.
  • Develop secure, auditable, and optimized pipelines for performance and reliability across sensitive financial datasets.
  • Automate ingestion and transformation processes to enable real-time compliance analytics and reporting.
  • Implement efficient storage formats and partitioning strategies for fast loading and retrieval.
  • Utilize Databricks and Delta Lake for distributed processing and versioned data storage.
  • Enforce data retention, archiving, and purging policies aligned with global regulatory requirements.
  • Migrate legacy application logic into modern Azure Databricks/Data Lake and SQL environments.
  • Maintain comprehensive data lineage, metadata, and audit trails using Azure Purview or custom frameworks.
  • Collaborate with governance teams and compliance analysts to define requirements and manage access controls.
  • Participate in Agile development cycles, sprint planning, and compliance reviews.
  • Review code changes and support production deployments.

JOB SPECIFICATIONS:
  • 3+ years of experience in data engineering within financial services, preferably compliance/regulatory.
  • Advanced proficiency in SQL, Python, and Azure Databricks.
  • Hands-on experience with Azure Data Factory, Databricks notebooks, and ADLS.
  • Expertise in data wrangling, modeling, and analytics enablement for compliance use cases.
  • Experience integrating Microsoft ADF and Databricks for complex ETL development.
  • Familiarity with data governance, quality frameworks, and audit processes.
  • Strong communication and collaboration skills.
  • Experience with Git/GitLab and CI/CD tools such as Azure DevOps.
  • Preferred: Certifications in Azure Data Engineering, Databricks, or Financial Compliance Technology.
  • Preferred: Bachelor's or Master's in Computer Science, Data Engineering, or related field

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

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