Data Developer - ETL

Excelacom is a global consulting and technology solutions firm serving communications and media industries through consulting, software, and managed services. The Data Developer will develop and maintain SQL queries, ETL pipelines, and data ingestion processes while performing data validation, troubleshooting, optimization, and documentation. The role also involves collaborating with developers, analysts, data scientists, and cross-functional stakeholders to deliver reliable data solutions.

Responsibilities

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

Preferred

preferably in Computer Science or related field

• Prior experience in Telecommunications, Media, or Cable is highly preferred
• Experience in a professional office environment or relevant internship experience
• Experience with Spark SQL, Hadoop, Apache Iceberg, or other large-scale data processing technologies
• Exposure to AWS data services such as EMR, Glue, Lambda, Step Functions, or managed Airflow
• Experience using Git and working in Linux-based development or production environments
• Experience with PySpark, Scala, shell scripting, or workflow orchestration tools
• Experience supporting data products used for reporting, statistical analysis, data science, or advanced analytics

Computer Science

Telecommunications industry

Media industry

Cable industry

Professional office experience

Internship experience

Spark SQL

Hadoop

Apache Iceberg

Large-scale data processing

AWS EMR

AWS Glue

AWS Lambda

AWS Step Functions

Managed Airflow

Git

Linux environments

PySpark

Scala

Shell scripting

Workflow orchestration

Data product support

Reporting data

Statistical analysis

Data science

Advanced analytics

Benefits

Health and wellness benefits

401(k)

Paid time off

Career growth opportunities

Company

Telecom software and consulting for digital transformation

Reston, Virginia, USA

http://www.excelacom.com/

Founded in 2010

501-1000 employees

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 to learn new technologies, follow technical standards, and work effectively with guidance from senior team members
• Bachelor's degree required
• Proficiency in Microsoft Office (Word, Excel, PowerPoint, Visio)
• Strong math, written and verbal communication skills with an analytical approach
• Applicant must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Excelacom will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Preferably in Computer Science or related field

• Prior experience in Telecommunications, Media, or Cable is highly preferred
• Experience in a professional office environment or relevant internship experience
• Experience with Spark SQL, Hadoop, Apache Iceberg, or other large-scale data processing technologies
• Exposure to AWS data services such as EMR, Glue, Lambda, Step Functions, or managed Airflow
• Experience using Git and working in Linux-based development or production environments
• Experience with PySpark, Scala, shell scripting, or workflow orchestration tools
• Experience supporting data products used for reporting, statistical analysis, data science, or advanced analytics
• 1-3 years of professional experience in data development, data engineering, database development, analytics, or a related technical role.

Required skills

SQL, ETL, Data Pipelines, Data Integration, Data Warehousing, Data Validation, Data Reconciliation, Python, Data Modeling, Microsoft Office, Spark SQL, Hadoop, Apache Iceberg, AWS EMR, AWS Glue, AWS Lambda, AWS Step Functions, Apache Airflow, Git, Linux, PySpark, Scala, Shell Scripting, Telecommunications, Media, or Cable

Preferred skills

preferably in Computer Science or related field

Experience

1-3 years