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Vice President Sql Data Engineer Jobs (NOW HIRING)

Smbc Global Foundation Inc

VP, Data Engineer

Charlotte, NC · Hybrid

$111.80K - $134.30K/yr

VP, Data Engineer Job Level: Vice President Job Function: IT and Digital Development Location ... Experience on ADLS, Azure Databricks, Azure SQL DB and Datawarehouse * Strong working experience in ...

Anblicks

SQL Data Engineer

Dallas, TX

$113.30K - $136K/yr

SQL Data Engineer Location: Dallas, TX Duration: 12+ months Rate: Open Skills: Bachelor's degree 5.+years of experience with ETL and advanced SQL skills - Adept at queries, report writing and ...

4 Staffing Corp

Senior Data Architect - VP

Newark, NJ · On-site +1

$70.25 - $94/hr

Provide technical leadership and mentorship to the data engineering team. Collaborate with cross ... Proficiency in SQL, data querying, and performance optimization techniques. * Familiarity with ...

ARC Group

SQL Data Engineer

Jacksonville, FL

$106.10K - $127.40K/yr

SQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL Data Engineer! This position is a hybrid position located in Jacksonville, FL, working 2-3 days ...

CEDENT

DB2 SQL Data Engineer

Houston, TX · On-site

3 days onsite, Houston TX Senior DB2 SQL Data Engineer We are seeking a Senior DB2 SQL Data Engineer with expert-level proficiency in SQL stored procedures and deep familiarity with the DB2 IBM ...

Spruce Infotech

SQL Data Engineer

Strong SQL Server expertise including stored procedures, performance tuning, indexing, and data modeling. * Experience documenting legacy systems and reverse engineering both database and application ...

SMBC

Senior Data Engineer - Vice President

Charlotte, NC · On-site

$103.50K - $140.60K/yr

Role Description The VP, Senior Data Engineer is a critical role within the Information Security ... Proficient in SQL Server, Oracle / PL-SQL, T-SQL and SQL stored procedures * Proficient in Python ...

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How much do vice president sql data engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for vice president sql data engineer in the United States is $64.42, according to ZipRecruiter salary data. Most workers in this role earn between $57.69 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Vice President Sql Data Engineer vs Data Architect?

AspectVice President Sql Data EngineerData Architect
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Modeling certifications
Work EnvironmentExecutive leadership, strategic planningDesigning data systems, technical implementation
Employer & Industry UsageLarge corporations, tech firms, financeTech companies, consulting firms, enterprises

The Vice President Sql Data Engineer focuses on strategic leadership and overseeing data engineering teams, while the Data Architect specializes in designing and implementing data systems. Both roles require strong technical skills and industry experience, but differ in scope and responsibilities.

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Vice President Sql Data Engineer jobs near you
Infographic showing various Vice President Sql Data Engineer job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% Contract. Highlights an 100% Physical job distribution, with an average salary of $134,000 per year, or $64.4 per hour.

VP, Data Engineer

Smbc Global Foundation Inc

Charlotte, NC • Hybrid

$111.80K - $134.30K/yr

Other

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

Job description

VP, Data Engineer

Job Level: Vice President Job Function: IT and Digital Development Location: Charlotte, NC, US Employment Type: Full Time

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.

Role Description

  • Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform.
  • Designing and implementing highly performant data ingestion pipelines from multiple sources using Azure Databricks.
  • Direct experience of building data pipelines using Azure Data Factory.
  • Developing scalable and re-usable frameworks for ingesting of datasets Design and Develop of ETL, data integration and data migration.
  • Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
  • Integrating the end-to-end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
  • Working with event based / streaming technologies to ingest and process data.
  • Working with other members of the project team to support delivery of additional project components (API interfaces, Search)
  • Evaluating the performance and applicability of multiple tools against customer requirements

Qualifications and Skills

  • Experience on ADLS, Azure Databricks, Azure SQL DB and Datawarehouse
  • Strong working experience in Implementation of Azure cloud components using Azure Data Factory, Azure Data Analytics, Azure Data Lake, Azure Data Catalogue and LogicApps.
  • Have knowledge in Azure Storage services (ADLS, Storage Accounts)
  • Expertise in designing and deploying data applications on cloud solutions on Azure.
  • Hands on experience in performance tuning and optimizing code running in Databricks environment.
  • Good understanding of SQL, T-SQL and/or PL/SQL
  • Should have experience working in Agile projects with knowledge in Jira.
  • Good to have handled Data Ingestion projects in Azure environment.
  • Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment.
  • Experience on Python scripting, Spark SQL PySpark is a plus.

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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