Data Engineer

Convo Communications is the world’s largest Deaf-owned company, dedicated to empowering Deaf communities through innovative communication solutions. They are seeking a Data Engineer to enhance their data infrastructure, ensuring reliable and accessible data for operational and strategic decision-making across the organization.

Responsibilities:

• Inherit, evaluate, and take full ownership of existing ETL/ELT pipelines — identifying what to preserve, improve, or replace based on performance, reliability, and long-term maintainability
• Design and build scalable pipeline improvements or net-new solutions where current practices fall short
• Monitor pipeline health, troubleshoot data quality issues, and proactively resolve performance and reliability problems
• Manage and evolve orchestration tooling with openness to adopting better alternatives as infrastructure needs grow
• Optimize query performance, pipeline efficiency, and resource utilization across Convo’s data environment
• Participate in testing, deployment, and monitoring practices that promote long-term reliability and scalability
• Develop and maintain scalable data transformation processes, schema design, and data models that support evolving business requirements
• Establish and evolve data quality testing frameworks - building practices that catch issues early and create lasting internal trust in our data
• Own data governance, documentation, lineage, version control, and data quality standards across the organization
• Serve as the primary internal resource for data engineering guidance and recommendations, helping set standards and informing data infrastructure decisions across the organization
• Work closely with the data analyst to translate business questions into reliable, queryable data structures
• Educate and guide non-technical stakeholders on how to work effectively with data, what is and isn’t feasible, and how to frame data requests clearly
• Explore and implement tooling to enable self-service data discovery for internal teams, reducing bottlenecks and empowering stakeholders to answer their own questions
• Collaborate with Product, Engineering, Finance, Operations, and Data Science stakeholders to support reporting, forecasting, and business intelligence needs
• Partner with Product and Engineering teams to integrate analytics, event tracking, and reporting into products and platforms
• Establish and document data engineering standards, workflows, and best practices at Convo — building a foundation that is sustainable, well-understood, and not dependent on any single person
• Contribute to improvements in data architecture, tooling, monitoring, automation, and engineering best practices
• Evaluate emerging technologies and tooling to improve efficiency, automation, and accessibility of data systems
• Maintain clear technical documentation and operational standards that support long-term maintainability
• Exercise sound technical judgment in balancing immediate business needs with long-term platform sustainability
• Maintain strong confidentiality and discretion when handling sensitive organizational, financial, operational, and employee data

Requirements:

• Strong SQL skills with hands-on experience in Snowflake and Snowflake SQL
• Proficiency in Python for data transformation, automation, and pipeline scripting
• Experience with dbt for data modeling and transformation
• Familiarity with git and version control best practices
• Solid understanding of ETL/ELT patterns, pipeline orchestration, and modern data modeling concepts
• Experience managing and supporting production-grade data infrastructure and pipelines
• Demonstrated ability to work independently, self-direct priorities, and make sound technical decisions without day-to-day oversight
• Experience troubleshooting data quality, reliability, and performance issues within complex data environments
• Ability to communicate technical concepts clearly and guide non-technical stakeholders on data capabilities and limitations
• A collaborative mindset and comfort working across teams with varying technical backgrounds
• Openness to inheriting existing systems and the judgment to know when to improve versus rebuild
• Openness to learning new tools and technologies as the data engineering landscape continues to evolve
• Ability to handle sensitive and confidential information with strong integrity and professionalism
• 3+ years of experience serving as a sole or lead data engineer, with primary responsibility for a company's data infrastructure
• 3+ years of experience with AWS data services such as Glue, RDS, or similar technologies
• 3+ years of experience with orchestration tools such as Stitch, Airflow, Prefect, or similar platforms
• 3+ years of experience with data quality frameworks and testing practices
• 3+ years of experience with BI and reporting tools
• Familiarity with CI/CD, testing, and deployment best practices for data infrastructure
• Familiarity with AI-adjacent data tooling and modern data infrastructure practices
• Experience working in a scaling technology or operations-driven organization
• Knowledge of American Sign Language (ASL) and/or Deaf culture is a plus