Data Engineer

Talentify; Framingham (MA); Hybrid; USD 83,000 - 103,000; Full time

Benefits offered by this job

Medical, Vision, and Dental Insurance

401k Retirement Fund

Job summary

Talentify is seeking a mid-level Data Engineer in Framingham, MA. The role is hybrid with on-site Tuesdays and Wednesdays and involves designing and maintaining data pipelines and models for Risk Assurance projects.

You will lead engineering efforts, collaborate with Data Analysis and IT teams, and oversee delivery from design to deployment. The ideal candidate has 5–10 years in data engineering, strong SQL and Power BI experience, and familiarity with Snowflake, Azure, and data governance

Qualifications

• 5–10 years' experience as a data engineer/modeling or in a similar role.
• Strong experience (5–10 years) in a technical data, data modeling, and/or data analytics role, specifically in technical design, development, and implementation.
• Experience to understand the reporting requirements and build out data models for reporting in Power BI and Snowflake.
• Experience in the full software delivery lifecycle on business development projects including data analysis, process mapping, business requirements, solution design, and go-live notes.

Responsibilities

• Design, develop, and maintain Data Software and Data Pipeline solutions for Corporate Risk and Compliance.
• Analyze raw data from various sources and technologies.
• Collaborate with IT teams and engineers to minimize duplication and align with IT roadmap.
• Deliver clean, secure, high-performance data components meeting non-functional requirements.
• Participate in design reviews, code reviews, and impact assessments.

Skills

Excel

Power BI

Snowflake

Jira

Confluence

Databricks

Alteryx

Microsoft Fabric

SQL

Python

Education

Bachelor's degree

Tools

Azure

Job description

Data Engineer - Mid-Level

Location: Framingham, MA

Onsite Flexibility: Hybrid — Tuesday and Wednesday on-site

Contract Details

• Position Type: Contract (contract-to-hire potential)
• Contract Duration: 5 months (with potential to extend)
• Pay Rate: $67.00 / Hour (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

The Data Analysis Engineer is accountable for designing, creating, and maintaining data pipelines and data models (using various data preparation and storage technologies) for projects within the Risk Assurance Data and System. You are expected to work as our lead engineer, partner with our Data Analysis, IT Teams, partners, and developers to drive the design and oversee the technical side of the delivery.

Key Responsibilities

• Accountable for designing, developing, testing, cataloging, and maintaining Data Software and Data Pipeline solutions for the Corporate Risk and Compliance functions
• Analyze raw data/data sets in various data technology environments
• Combine raw information from different sources and technologies
• Identify opportunities for data acquisition
• Work collaboratively with IT teams and peer engineers to ensure data duplication is minimized and solutions are aligned to the overall strategic IT roadmap
• Accountable for delivering clean, secure, performant code/technology components that meet all the non-functional requirements
• Participate in Design Reviews, peer code reviews, and Impact Assessment Sessions to identify appropriate solutions
• Creates test data, relevant supporting documentation, and supports deployment for small to medium complex solutions
• Comfortable working within an agile framework to ensure solutions are delivered efficiently — identify opportunities to improve the development process
• Supports discussions on design approaches to solving business problems
• Maintains broad knowledge in Data sources and Analytics applications/self-service areas which support the Corporate Risk and Compliance function
• Works with the COE to enhance guidelines, standards, and methodologies — partner with peers to ensure consistency
• Actively participate in the appropriate communities of practice
• Assumes responsibility for providing a high level of customer service and takes personal accountability for outcomes
• The ability to multitask and prioritize work in a fast-paced environment
• Accountable to leading our data related design, modeling, and data solution delivered and proactively address issues that are identified
• Assumes responsibility for providing a high level of customer service and takes personal accountability for outcomes
• Leading other developers and analysts through design concepts
• Excellent teamwork, interpersonal, and communication skills
• Ability to develop relationships at all levels of the business
• The ability to multitask, prioritize, and work in a fast-paced environment

Required Experience

• 5–10 years' experience as a data engineer/modeling or in a similar role
• Strong experience (5–10 years) in a technical data, data modeling, and/or data analytics role, specifically in technical design, development, and implementation
• Experience to understand the reporting requirements and build out data models for reporting in Power BI and Snowflake
• Experience in the full software delivery lifecycle on business development projects including data analysis, process mapping, business requirements, solution design, functional and technical specification, coding, source code management, test plans, and go-live release notes

Required Skills

• Strong knowledge of Excel, Power BI, Snowflake, Jira, Confluence, Databricks & Alteryx, and Microsoft Fabric
• Expert knowledge of and experience with a Data modeling and Engineering toolset, SQL, Data Modeling, multiple file formats (JSON, XML, etc.), data security, and data profiling
• Proficient in working with SQL and creating stored procedures and other integration techniques
• Some experience with cloud data storage technologies (Azure), analytics tools, end-to-end data architecture patterns, and data governance concepts
• Familiar with Agile and DevOps concepts and tools
• Strong analytical, critical thinking, and influencing skills
• Proactive and clear communication skills
• Self-starter; work independently

Preferred Skills

• Expertise and hands-on experience working with complex and large data sets in a multi-system and technology environment (this can be built with IT support)
• Python skills

Education Requirements

• Bachelor's degree in information management, data analytics, computer science, or a similar field (preferred)

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

Important Notes

• Local candidates only
• Interview process: 2 rounds — 1st round will be technical; 2nd round will be with a business-facing partner (half hour each round)

About the Client

This Fortune 100 off-price retail company is the world's leading off-price apparel and home fashions organization, operating more than 5,200 stores across ten countries under iconic retail brands. With a business model built on delivering quality, brand-name, and designer merchandise at prices typically 20 to 60 percent below full-price retail, the organization has created one of the most distinctive and enduring value propositions in global retail, employing buyers, merchants, retail professionals, and technology specialists across merchandising, operations, supply chain, corporate finance, marketing, and technology functions worldwide.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-14346 Industry: Data & Analytics

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