ZipRecruiter

Log In

1

Contract Data Engineering Jobs (NOW HIRING)

Lazard, Inc.

Data Engineering Lead

Manhattan, NY · On-site

Define and enforce canonical data models, metadata standards, and data product contracts across LAM's data estate * Evaluate, select, and own the LAM data engineering toolchain: orchestration ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Version control, data contracts, and documentation * Champion modern software engineering practices within data engineering Business Partnership * Partner with Business Product Managers, Domain ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Version control, data contracts, and documentation * Champion modern software engineering practices within data engineering Business Partnership * Partner with Business Product Managers, Domain ...

CoreWeave

Staff Data Engineer - Data Engineering

Sunnyvale, CA · On-site

$134K - $161K/yr

Establish durable data contracts, system boundaries, and reusable engineering patterns across teams. * Identify and resolve systemic performance, reliability, and scalability constraints across the ...

CoreWeave

Staff Data Engineer - Data Engineering

New York, NY · On-site

$125K - $150K/yr

Establish durable data contracts, system boundaries, and reusable engineering patterns across teams. * Identify and resolve systemic performance, reliability, and scalability constraints across the ...

SQUIRE

Director, Data Engineering

Charleston, WV · Remote

$200K - $230K/yr

... company strategy into data contracts and platform investments * Lead audits of existing ... Backend engineering experience (ideally in JS/TS) with sufficient depth to effectively evaluate ...

previous pagenext page

Showing results 21-40

All JobsContract Data Engineering Jobs

Contract Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do contract data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for contract data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What are the key skills and qualifications needed to thrive as a contract data engineer?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
More about Contract Data Engineering jobs
What cities are hiring for Contract Data Engineering jobs? Cities with the most Contract Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Contract Data Engineering jobs? States with the most job openings for Contract Data Engineering jobs include:
What job categories do people searching Contract Data Engineering jobs look for? The top searched job categories for Contract Data Engineering jobs are:
Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineering Manager

Hastings Mutual Insurance Company

Hastings, MI • On-site, Remote

Full-time

Retirement, PTO

Re-posted 3 days ago

Job description

Lead the engineering, integration, and architecture behind our enterprise data ecosystem.
Hastings Insurance is seeking a Data Engineering Manager to join our Information Technology team. In this leadership role, you will oversee the design, development, and operational management of enterprise data solutions that support business operations, reporting, analytics, and strategic decision-making across the organization.
Leading a team of data engineering and warehousing professionals, you will guide the development of enterprise data pipelines, integration processes, data warehousing environments, and data architecture practices that ensure reliable, scalable, and secure access to critical business information. This role combines technical leadership, people leadership, and cross-functional collaboration to strengthen the data foundation that supports our business.
As advanced analytics and data science functions are led within our Actuarial & Risk Management group, this position is primarily focused on data engineering, data warehousing, enterprise integration, and data architecture.
Location & Schedule:
  • This is a full-time position working Monday through Friday, 8:00 a.m. to 4:30 p.m.
  • The role may be performed onsite at our Hastings, Michigan headquarters or in a hybrid arrangement. We may also consider remote candidates who reside in one of our operating states: Michigan, Ohio, Indiana, Illinois, or Wisconsin.
  • Candidates working remotely should expect periodic travel to Hastings throughout the year for meetings, collaboration, and business needs.

What You'll Do:
  • Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, and data integration solutions.
  • Oversee the design, development, deployment, and maintenance of enterprise data pipelines and data warehousing environments.
  • Ensure reliable movement, transformation, and delivery of data from systems of record into centralized data platforms.
  • Guide data architecture, data modeling, and integration practices that support secure, scalable, and maintainable solutions.
  • Partner with IT engineering, architecture, business stakeholders, and data owners to align data solutions with organizational needs.
  • Promote data governance standards, data quality practices, and consistency across enterprise data assets.
  • Support the development and maintenance of enterprise reporting and business intelligence data structures.
  • Develop and manage maintenance schedules for data warehousing and business intelligence platforms.
  • Evaluate emerging technologies and recommend solutions that improve reliability, scalability, performance, and cost effectiveness.
  • Support vendor evaluations, contract discussions, and third-party data service relationships.
  • Collaborate with leaders across the organization to identify opportunities to improve data accessibility, consistency, and operational efficiency.
  • Stay informed on trends affecting both enterprise data environments and the Property & Casualty insurance industry.

Additional Role Highlights:
  • Technical leadership role with direct influence over enterprise data engineering and data architecture initiatives.
  • Opportunity to help shape the future direction of Hastings' enterprise data environment.
  • Strong partnership with IT engineering, architecture, business analytics, and operational leaders.
  • Visibility across all levels of the organization, including executive leadership.
  • Balance of strategic planning, technical leadership, and people leadership responsibilities.

What You'll Bring:
  • Bachelor's degree in Information Technology, Business, Economics, or a related field, or equivalent experience.
  • 10+ years of progressive experience supporting enterprise data solutions, data engineering initiatives, data warehousing environments, or business data flows.
  • Experience leading, mentoring, or developing technical teams.
  • Demonstrated expertise in ETL design, development, and implementation.
  • Strong understanding of data warehousing concepts, data integration, and enterprise data architecture principles.
  • Experience working with relational databases and enterprise data environments.
  • Working knowledge of project phases and general project management concepts.
  • Experience across multiple computing environments, including mainframe, client-server, and internet-based platforms.
  • Excellent written, verbal, and interpersonal communication skills.
  • Proficiency with Microsoft Office tools.
  • Ability to exercise sound judgment, maintain confidentiality, and operate effectively in complex, time-sensitive environments.

Preferred Qualifications:
  • Experience within the Property & Casualty insurance industry.
  • Experience supporting enterprise data warehouse or business intelligence environments.
  • Familiarity with SQL Server, ETL tools, data modeling, and enterprise integration solutions.
  • Experience working with both legacy and modern data platforms.

About Hastings Insurance:
For more than 135 years, Hastings Insurance has helped individuals, families, and businesses protect what matters most. As a trusted partner to independent agents and policyholders, we've earned a reputation for financial strength, exceptional service, and long-term stability, including an A (Excellent) financial strength rating from A.M. Best.
While we're proud of our history, we're equally focused on the future. We're investing in technology, strengthening partnerships with independent agents, and continuously evolving our products and services to meet the changing needs of our customers.
Just as importantly, we're investing in our people. Employees enjoy a collaborative, down-to-earth culture where initiative is valued, growth is encouraged, and good work is recognized. We offer competitive pay and benefits, including a 401(k) with company matching contributions, generous paid time off, tuition and professional development assistance, and company performance-based incentive compensation opportunities.
Our Organizational Commitment:
At Hastings Insurance, we believe our people are our greatest strength. We foster a workplace where employees are treated with respect, supported in their growth, and empowered to contribute. We know that diverse perspectives lead to stronger collaboration, better decisions, and better outcomes for our customers and communities.
We are proud to be an equal opportunity employer. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any legally protected characteristic.
If you require a reasonable accommodation during the application or interview process, please contact our Talent Acquisition team at 800-442-8277.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Apply