Data Engineer

Interactive Resources - iR; United States; On-site; USD 115,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A technology firm is seeking a Data Engineer to build and support modern data platforms. This role involves designing data pipelines, optimizing data models, and collaborating with various teams to ensure data quality. Candidates should possess several years of experience in data solutions and strong SQL skills. The position offers full-time employment with benefits including medical and vision insurance and a 401(k) plan.

Qualifications

• Several years of hands-on experience building data pipelines and database solutions.
• Experience with ETL processes, incremental loading, and data transformations.
• Understanding of data governance, security, and compliance fundamentals.

Responsibilities

• Design, build, and maintain data pipelines from multiple sources.
• Develop and optimize data models for analytics and reporting.
• Monitor and improve pipeline performance and scalability.

Skills

Strong SQL skills

Data modeling

Problem-solving and analytical abilities

Ability to work independently

Clear written and verbal communication skills

Education

Bachelor’s degree in a technical or related field

Tools

ETL / ELT frameworks

Cloud data services

SQL

Python

Job description

Base pay range

$115,000.00/yr - $120,000.00/yr

Reporting to

Director of Data and Analytics

Overview

This role focuses on building and supporting modern data platforms that enable reliable reporting, analytics, and decision-making. The Data Engineer designs, develops, and maintains data pipelines, storage solutions, and integration patterns using cloud-based technologies. This position works closely with engineering, analytics, and business teams to ensure data is accurate, accessible, and scalable.

Key Responsibilities

• Design, build, and maintain data pipelines that ingest, transform, and deliver data from multiple sources including databases, APIs, and files
• Develop and optimize data models to support analytics, reporting, and downstream consumption
• Integrate data from disparate systems into centralized data stores such as data warehouses or data lakes
• Implement data validation and quality checks to ensure consistency and reliability
• Monitor, tune, and improve pipeline performance and scalability
• Support cloud-based data platforms and analytics environments
• Collaborate with application and platform teams to design efficient data integration patterns
• Participate in CI/CD and DataOps practices including version control, code reviews, and deployment pipelines
• Document data pipelines, schemas, and processes to support maintainability and knowledge sharing
• Contribute to modernization efforts focused on treating data as a reusable, well-governed product
• Work within Agile delivery teams and contribute to iterative development cycles

Technical Environment

• Cloud data services and storage platforms
• ETL / ELT frameworks and orchestration tools
• Relational and analytical databases
• Data modeling (dimensional and relational)
• CI/CD tooling and source control
• SQL and at least one general‑purpose programming language (Python, Java, Scala, or similar)

Required Experience

• Several years of hands‑on experience building data pipelines and database solutions in an enterprise environment
• Strong SQL skills with experience in performance tuning and data modeling
• Experience with ETL processes, incremental loading, and data transformations
• Familiarity with cloud‑based data platforms and security concepts
• Experience working with structured and semi‑structured data formats (such as JSON)
• Understanding of data governance, security, and compliance fundamentals
• Bachelor’s degree in a technical or related field, or equivalent experience

Preferred Experience

• Experience with modern analytics or BI tools
• Exposure to streaming or event‑driven data architectures
• Experience migrating legacy data systems to cloud platforms
• Familiarity with data lake or lakehouse design patterns

Core Skills

• Strong problem‑solving and analytical abilities
• Ability to work independently while collaborating across teams
• Clear written and verbal communication skills
• High attention to detail and data quality
• Adaptability and willingness to learn new technologies

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

• Staffing and Recruiting, Technology, Information and Media, and Software Development

Benefits

• Medical insurance
• Vision insurance
• 401(k)

Referral Program

Referrals increase your chances of interviewing at Interactive Resources - iR by 2x.