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Data Developer - ETL

Job in Greenwood Village, Arapahoe County, Colorado, USA
Listing for: Excelacom
Full Time position
Listed on 2026-09-15
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 90000 USD Yearly USD 60000.00 90000.00 YEAR
Job Description & How to Apply Below

Who We Are

Excelacom is a global consulting and technology solutions firm solving client’s complex business and technology challenges through a mix of consulting expertise, telecom-focused software, and managed services within the communications and media industries.

Data Developer (ETL) Greenwood Village, CO Who We Are

Excelacom is a global consulting and technology solutions firm solving client’s complex business and technology challenges through a mix of consulting expertise, telecom-focused software, and managed services within the communications and media industries.

Who You Are

You are an early-career data developer with 1-3 years of experience who enjoys working with data, writing SQL, and solving technical problems. You have a solid foundation in relational databases and ETL concepts and are eager to grow your skills in cloud-based data engineering. You are detail-oriented, collaborative, and comfortable learning from senior engineers while contributing reliable code and high-quality data solutions.
At the Analyst-Level, you will support business solutions through research, data collection, and analysis, contribute to client deliverables and proposals, take ownership of tasks, and embody the firm’s brand and core values.

Role and Responsibilities

You may work on various projects throughout your career with Excelacom. The roles and responsibilities noted below pertain to the specific role listed above.

  • Write, test, and maintain SQL queries used for data extraction, transformation, validation, and reporting.
  • Develop and support ETL pipelines and data ingestion processes under the guidance of senior team members.
  • Use joins, aggregations, subqueries, common table expressions, and window functions to analyze and transform data.
  • Troubleshoot SQL queries, data quality issues, and production job failures, escalating complex issues when appropriate.
  • Assist with query tuning and performance optimization for large datasets and recurring production workloads.
  • Perform data validation, reconciliation, and quality checks to ensure datasets are accurate, complete, and reliable.
  • Partner with data developers, analysts, and data scientists to build datasets that support reporting and analytics.
  • Document SQL logic, data mappings, ETL workflows, operational procedures, and technical solutions.
  • Participate in code reviews, testing, deployments, and team knowledge-sharing activities.
  • Learn and apply data engineering standards, source-control practices, and production support procedures.
  • Collaborate with technical and cross-functional stakeholders to translate business and analytical needs into data solutions.
  • In addition to delivering at the client site, you will occasionally be tasked in productizing Excelacom's work, contributing to our Center of Excellence and intermittently working on Excelacom proposals to the client.
Required Qualifications
  • 1-3 years of professional experience in data development, data engineering, database development, analytics, or a related technical role.
  • Strong hands-on SQL experience, including joins, aggregations, subqueries, common table expressions, and window functions.
  • Experience using SQL to extract, transform, validate, and troubleshoot data in relational or distributed data environments.
  • Working knowledge of ETL concepts, data pipelines, data integration, and data warehousing principles.
  • Experience identifying data quality issues and performing data validation and reconciliation.
  • Basic Python scripting experience for data processing, workflow automation, or troubleshooting.
  • Familiarity with version control, testing practices, and writing maintainable production code.
  • Understanding of data modeling concepts, including tables, keys, relationships, and dimensional data structures.
  • Ability…
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