1

Weekend Financial Data Engineer Jobs Near Me

Data Engineer

Columbus, OH · On-site

$75/hr

Data Engineer Location: Columbus, OH Duration: 12 Months Client: Chipotle Mexican Grill, Inc ... financial information in a confidential and professional manner • Proven track-record of ...

Sr. Data Engineer

Columbus, OH · On-site

$150K - $190K/yr

Health, wellness, and financial benefits to offer peace of mind to you and your family. * World ... The Senior Data Engineer will be responsible for the analysis, design, and development of solutions ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Senior Data Engineer, you will serve as a Subject Matter Expert in the Enterprise Data ... Intermediate to advanced knowledge of general Financial Services or Banking is preferred.

Senior Data Engineer

Columbus, OH · On-site

$99K - $134K/yr

Senior Data Engineer As a Senior Data Engineer, you will serve as a Subject Matter Expert in the ... Intermediate to advanced knowledge of general Financial Services or Banking is preferred.

Cloud Data Engineer

Columbus, OH · On-site

$52 - $69.50/hr

Cloud Data Engineer Pay Rate: 50-78/HR on W2 Location: 1400 City View Drive, Columbus, OH 43215 ... Knowledge of Financial Services industry. Preferred Qualifications: * 5+ years of work experience ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Financial services industry experience preferred Only candidates available and ready to work ...

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Financial services industry experience preferred Only candidates available and ready to work ...

Data Engineer - Cloud/AI

Westerville, OH

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Financial Strength OUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big ...

Senior Data Engineer

Columbus, OH · On-site +1

$101K - $137K/yr

First Merchants Bank is seeking a Senior Data Engineer to join our team! This role can be remote ... To enhance the financial wellness of the diverse communities we serve. Our Mission is: To be the ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Financial Strength OUR BEHAVIORS • Own It • Act With Urgency • Foster a Customer-First ...

Security Data Engineer

Ashville, OH · On-site +1

$129K - $220K/yr

ABOUT THE TEAM Anduril's Information Security team is looking for a security data engineer to focus ... No Financial Requests: Anduril will never solicit payment or demand personal financial details ...

Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise * Analyze and validate financial data; identify trends, discrepancies ...

GOOGLE Data Architect

Columbus, OH · On-site

$75 - $85/hr

Financial services or high-transaction domain experience * Experience with APIs, microservices, and data governance tools * Familiarity with DevOps, CI/CD, Terraform * Google Cloud Platform ...

... engineering services present in nearly 50 countries. The end client is in the Utilities/Energy ... Strong analytical skills for interpreting complex financial data and trends. Proficient in ...

next page

Showing results 1-20

Weekend Financial Data Engineer information

See salary details

$60.5K

$122.1K

$167.5K

How much do weekend financial data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for weekend financial data engineer in the United States is $122,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $140,000.00 per year, depending on experience, location, and employer.
What job categories do people searching Weekend Financial Data Engineer jobs look for? The top searched job categories for Weekend Financial Data Engineer jobs are:
What cities are hiring for Weekend Financial Data Engineer jobs? Cities with the most Weekend Financial Data Engineer job openings:
What states have the most Weekend Financial Data Engineer jobs? States with the most job openings for Weekend Financial Data Engineer jobs include:
What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
A map of the United States highlighting the number of Weekend Financial Data Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Weekend Financial Data Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Engineer - Data Engineering

Futran Tech Solutions Pvt. Ltd.

Columbus, OH • On-site

$107K - $128K/yr

Other

Posted 25 days ago


Job description

Client - Lululemon
Data Engineer - Data Engineering
Location: Columbus, Ohio (On-site / Hybrid)
Role Type: Individual Contributor
Role Summary We are seeking a skilled Data Engineer with 5 years of hands-on experience building and maintaining robust data pipelines, data lakes, and analytical platforms. Based in Ohio, this is an individual contributor role with direct engagement with business stakeholders across lululemon's Ohio-based operations. The successful candidate will own end-to-end data engineering deliverables independently, translating business requirements into scalable, production-grade data solutions that power analytics and AI/ML workloads.
Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines using Python, Apache Spark, and Azure Data Factory to ingest data from diverse retail and operational sources into a centralised data lake (Microsoft Fabric / OneLake)
  • Engage directly with Ohio-based business teams (supply chain, store operations, finance, and merchandising) to gather data requirements, understand domain logic, and translate business needs into well-defined data models and pipeline specifications
  • Independently own the full data engineering lifecycle for assigned domains - from requirements gathering and data modelling through to pipeline deployment, monitoring, and ongoing optimisation
  • Build and manage Bronze, Silver, and Gold data layers in the lakehouse architecture, applying data quality checks, schema validation, and partitioning strategies to ensure reliable, performant datasets for downstream analytics and ML teams
  • Participate actively in agile ceremonies (sprint planning, stand-ups, retrospectives), self-manage delivery against sprint commitments, and proactively surface risks or blockers without requiring escalation
  • Implement and enforce data quality frameworks, lineage tracking, and cataloguing standards using Microsoft Purview, ensuring datasets meet governance and compliance requirements (GDPR, CCPA)
  • Support and contribute to Global Fulfillment and supply chain data initiatives, acting as the primary data engineering liaison for Ohio-based operational teams and ensuring timely delivery of data products that enable real-time decision-making
  • Stay current with emerging data engineering tools, patterns (e.g. data mesh, streaming architectures), and Microsoft Fabric capabilities; apply relevant advancements to continuously improve the data platform
    Qualifications
  • 5+ years of hands-on experience as a Data Engineer, with a proven track record of independently delivering production-grade data pipelines and data products in a cloud-based environment
  • Proficiency in Python and SQL for data transformation, with hands-on experience using Apache Spark (PySpark) for large-scale batch and streaming data processing
  • Solid understanding of data modelling concepts (dimensional modelling, star/snowflake schema, data vault) and experience building lakehouse architectures with Delta Lake or Apache Iceberg
  • Demonstrated ability to work directly with non-technical business stakeholders - gathering requirements, explaining data concepts in plain language, and iterating quickly on feedback to deliver business value
  • Experience with version control (Git), CI/CD pipelines, and DataOps practices - including automated testing of data pipelines and Infrastructure-as-Code (Terraform or Bicep)
  • Familiarity with data governance frameworks, data cataloguing (Microsoft Purview or Apache Atlas), and implementing data quality rules and observability monitoring within pipelines
  • Strong analytical mindset, attention to detail, and self-starter attitude - comfortable driving work forward independently in a fast-paced retail technology environment with minimal day-to-day supervision