Data Engineer

Call Tracking Metrics  is a cutting edge software within the SaaS/UCaaS space helping drive revenue for 100,000+ clients in over 90 different countries.

Our

Purpose:

To create a better human experience through technology

Our Mission:
We empower businesses with the tools to transform conversations into an advantage

Our Vision:
We revolutionize the ways in which people and businesses connect

What do we do?

• We help businesses determine which ad campaigns produce the highest return on investment, ultimately driving more conversions, increasing efficiencies, and automating their operations.
• We help contact centers support and better connect with their customers by offering a variety of tools such as our mobile app, transcriptions, chat and text messaging features, queue tracking, and a bunch of incredible analytics.
• We help businesses to work remotely as effectively as they do in-person through our soft-phone and contact center support tools, helping thousands of businesses to employ team members around the world.
• We enable automation through powerful AI features to enhance workforce productivity, discover business opportunities and improve the human experience of communication by reducing the time spent on boring tasks and allowing more human time to interact.

Our headquarters is in Maryland, but we have team members around the country focused on helping our customers. We pride ourselves on our amazing culture, which you can learn about here.

We are looking for a Data Engineer to join our team.

As a successful Data Engineer, you will design, maintain, and optimize the data systems that power our integrations, analytics, and reporting. You’ll work across multiple internal and external platforms to ensure our data is accurate, accessible, and actionable.

• Build, maintain, and monitor data pipelines and ETL workflows connecting to various external systems (e.g., Salesforce, Hub Spot, Big Query, Snowflake, etc.)
• Collaborate with internal teams to ensure data quality, consistency, and reliability across systems
• Support the design and implementation of data models and schemas to improve data organization and reporting
• Develop and maintain internal data reporting infrastructure to support business intelligence, product, and operations teams
• Automate recurring data processing and transformation tasks
• Work closely with engineering and product teams to improve data availability and accessibility
• Troubleshoot integration failures, data discrepancies, and performance issues in pipelines

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
• Minimum 5+ years of experience in data engineering, ETL development, or related roles
• Strong SQL experience (MySQL, Postgre
  
  SQL, or another relational database)
• Experience designing and implementing data models and architecture for analytics and reporting
• Hands-on experience with external API integrations (Salesforce, Hub Spot, Big Query, Snowflake, etc.)
• Experience building dashboards or reports for internal teams using tools such as Looker, Tableau, Power BI, or SQL-based reporting solutions
• Experience with ETL tools or frameworks (e.g., Airflow, dbt, Pentaho, custom Python-based workflows)
• Familiarity with data warehousing concepts and cloud data ecosystems (AWS, GCP, etc.)
• Knowledge of scripting languages for data manipulation and automation
• Understanding of version control (Git) and CI/CD pipelines for data workflows
• A high-level of accommodation and flexibility to work in a fast-paced environment of constant change and the ability to perform well under pressure and deadlines
• Strong attention to detail and organization
• The ability to work independently, but also be a strong team player across the organization
• Strong communication skills and the ability to communicate with anyone

• The expected salary range for this role may differ based upon the candidate. Salary presented with a job offer will be based on factors such as calibrated job level, educational background, prior work experience, qualifications, skills, competencies, and proficiency for…