Data Engineer

Insight Global
Dallas, TX, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Cloud Computing Information Engineering Data Infrastructure Extract Transform Load (ETL) Python (Programming Language) Machine Learning Systems Development Life Cycle Standard Sql Software Engineering Product Software Implementation Methods Snowflake
+5 more
Information Technology Software Performance Data Pipelines Servicenow Databricks

Job description

  • Assists in the design and development and testing of software applications * Resolves day-to-day incidents to assure the integrity of the services being provided * Consume, transform and update data between two or more systems using integration software * Consults with business partners to create documentation relating to the program definition, development, business requirements. Documentation includes software objectives, deliverables, and end user specifications * Writes, translates, and codes software scripts, programs and applications according to specifications and end user requirements * Designs, runs, and monitors software performance tests on new and existing programs for the purposes of correcting errors, isolating areas for improvement. Support in the smooth maintenance of the system 2 and provide data to the end users in a timely manner * Prepares and writes reports for management and/or team members on the status of assignments * Trains end users to operate new or modified programs * Conducts research on emerging application development software products, languages, and standards in support of development efforts * Works with external vendors to assure efficient implementation of software products or systems * Keeps abreast of new and changing technological advances in program languages, utilities, tools, and client/server technology to assure achievement of ETL/Development of reports, so users can make proper decisions

Requirements

  • 2-3 years of experience working in software engineering, data engineering, data science, or a similar technical capacity * Comfortable writing and troubleshooting code in Python and SQL * Experience with modern data platforms such as Snowflake, Databricks, or other cloud-based environments * Familiarity with building and supporting data pipelines and ETL workflows * Interest in data science and machine learning, with a willingness to continue learning in those areas * Strong problem-solving skills and the ability to work across both technical and business teams * Bachelor’s degree in Computer Science, MIS, Information Technology, Engineering, Business, or a related discipline * Extensive hands-on experience with Snowflake * Previous experience with data science or machine learning projects * Familiarity with ServiceNow or a similar ticketing platform * Understanding of SDLC processes and software delivery best practices * Master’s degree in a related technical field preferred

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Integrating automated approval workflows into the portal

Markus Eisele Markus Eisele · World Congress 2025

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Executing Databricks jobs with built-in Airflow operators

Alan Mazankiewicz · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:27 min

Establishing a simulated technical environment for the workflow demo

Tobias Dunn-Krahn · LIVE

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Building generic custom operators for Databricks APIs

Alan Mazankiewicz · LIVE

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