Data Engineer

About

Diversified Services Network, Inc. (DSN) is seeking a full‑time Data Engineer to join our team in a 100 % remote role or at any of our CAT hubs (Chicago, Dallas, Peoria, Champaign, Westminster). We offer full benefits, PTO, 401(k), and more. This position will contribute significantly to the efficiency and effectiveness of our data operations, enabling the team to deliver high‑quality data solutions and support to various business units.

Responsibilities

• Perform data‑related tasks including data design, data quality, data triage, data governance, and data architecture using SQL, Snowflake, and AWS.
• Develop break/fix solutions and address root causes in data pipeline implementation/code using Python and AWS.
• Create scripts and automation tools to detect and correct data issues.
• Build monitoring and alerting capabilities to proactively detect data issues.
• Work on complex application/technical problem identification and resolution, including off‑shift and weekend support calls.
• Identify, investigate, and obtain resolution commitments for platform and data issues to maintain and improve quality and performance of digital product data.
• Communicate with end users and internal customers to guide development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness.

Requirements

Education & Experience

• Bachelor’s or Master’s degree from an accredited college or university, or equivalent experience.
• 5–7 years of experience in data management, data engineering, or data operations (data design, data quality, metadata, governance, etc.).

Required Skills

• Experience developing and delivering microservices using serverless AWS services (S3, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, IAM).
• 4+ years of experience in a cloud environment (AWS, Snowflake).
• Strong SQL and Python skills.

Desired Skills

• Strong AWS experience, including SageMaker, S3, RDS, CloudWatch, and related services.
• Strong Snowflake experience.
• Understanding of logical data domains, primarily Customer & Equipment domains.
• Experience in Data Operations, Tier 2 Support, or comparable Data Engineering Support role.
• Knowledge of end‑to‑end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, and big data analytics.
• Familiarity with data technology products and components for Big Data and Cloud (AWS, Data Lakes, etc.).
• Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.

Soft Skills

• Excellent verbal and written communication; ability to clearly convey complex technical ideas.
• Strong problem‑solving, customer service, and interpersonal skills.
• Collaborative mindset in a fast‑changing, diverse environment.

Benefits

• 401(k)
• Dental insurance
• Vision insurance
• Disability insurance
• Employee assistance program
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Paid holidays