{"id":3885231,"url":"https://alion.io/job/sprypoint-data-conversion-engineer","title":"Data Conversion Engineer","company":{"id":689869,"name":"SpryPoint","domain":"sprypoint.com","url":"https://alion.io/company/sprypoint","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Brunswick, United States","Canada"],"countries":["US","CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-06-04T17:12:06Z","employer_posted_date":"2025-06-04","last_verified_at":"2026-11-06T19:25:53Z","board_verified":true,"closed_at":null,"days_open":520,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":520},"description":"Position Overview\nAs a Data Conversion Engineer at SpryPoint you will play a key role in supporting the transformation and migration of utility billing data from legacy systems into our modern utility and billing platform.\nYou will work in the Technical Services department alongside the rest of the Data Conversion team to extract, transform, and load (ETL) customer data, ensuring accuracy, efficiency, reliability, and quality. You will have opportunities to collaborate with pair programming, learn best practices in data migration, and contribute to process improvements.\nThis role is a great opportunity for someone early in their data engineering career who wants to build strong foundations in data transformation, conversion auditing, and process optimization within a collaborative and iterative environment.\nResponsibilities\nLead and manage ETL migration processes across multiple concurrent projects, ensuring robust data pipeline development and timely project delivery.\nDevelop and maintain efficient extraction, transformation, and loading scripts, utilizing Python, SQL, and related data engineering tools to ensure high-quality data migrations.\nImplement feedback-driven improvements from clients and internal teams, enhancing data conversion quality, performance, and reliability.\nActively contribute to data quality assurance processes and review datasets for accuracy, completeness, and consistency.\nConduct in-depth analysis and profiling of diverse source database schemas (including relational and non-relational legacy systems) to accurately map and facilitate successful data extraction and migration.\nCollaborate closely with the broader Client Experience team to seamlessly integrate client data into SpryPoint products, enabling smooth and timely go-live processes.\nWork with the Data Conversion team to establish and promote best practices, create documentation, and drive continuous improvement in data migration processes, automation, and observability.\nActively participate in daily standups and weekly review sessions, clearly communicating progress, raising blockers, and incorporating feedback to continuously improve data engineering tasks and processes.\nQualifications and Competencies\nDevelopment experience with Python and the pandas module.\nDevelopment experience with SQL and relational databases.\nExperience in data migration, ETL processes, process 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