{"id":2617719,"url":"https://alion.io/job/kaleidoscope-innovation-principal-data-engineer","title":"Principal Data Engineer","company":{"id":4382008,"name":"Kaleidoscope Innovation","domain":"kascope.com","url":"https://alion.io/company/kaleidoscope-innovation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":{"grade":"B","score":75,"open_postings":38,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":184000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":415},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Data Vault","optional":false},{"name":"DataStage","optional":false},{"name":"dbt","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Replicate","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-09-17T17:51:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-24T10:38:28Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Job Posting Title\nPrincipal Data Engineer\nJob Description\n*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*\nLocation: Charlotte, NC/Detroit, MI\nWork Arrangement: Onsite\nJob Type: Full-Time\nJob Overview\nWe are seeking an experienced Principal Data Engineer to design, develop, and maintain scalable data solutions supporting enterprise data engineering and analytics initiatives. This role will work across data engineering, data warehousing, data integration, and cloud technologies to build reliable and high-performing data platforms.\nThe ideal candidate has strong hands-on experience with AWS, Snowflake, Python, SQL, ETL/ELT, and modern data engineering practices, along with the ability to work across complex enterprise data environments.\nKey Responsibilities\nDesign, develop, and optimize scalable data pipelines and data integration solutions.\nDevelop and maintain data architectures supporting enterprise data warehouses, data lakes, and analytics platforms.\nBuild and optimize ETL/ELT processes using modern data engineering tools and technologies.\nDevelop solutions using AWS services including S3, Lambda, and DynamoDB.\nDesign and implement data solutions within Snowflake and other cloud-based data environments.\nDevelop and maintain data models, including Data Vault modeling methodologies.\nWrite and optimize complex SQL and Python code for data processing and integration.\nWork with dbt to develop, transform, test, and manage data workflows.\nSupport data replication and integration using tools such as Qlik Replicate.\nWork with enterprise data platforms including IBM InfoSphere DataStage and CP4D.\nDevelop and integrate APIs to support enterprise data and application needs.\nEstablish and maintain data quality, governance, metadata management, and data lineage processes.\nCollaborate with engineering, architecture, analytics, and business teams to translate requirements into scalable data solutions.\nTroubleshoot performance, data quality, and integration issues across complex data environments.\nProvide technical leadership and guidance on data engineering architecture and best practices.\nRequired Qualifications\nStrong experience in data engineering and enterprise data environments.\nHands-on experience with AWS, particularly S3, Lambda, and/or DynamoDB.\nStrong experience with Snowflake and cloud data warehousing.\nAdvanced Python and SQL development skills.\nExperience developing ETL/ELT and data integration solutions.\nExperience with data warehousing and data modeling, including Data Vault.\nExperience with dbt or similar modern data transformation frameworks.\nExperience with data quality, governance, metadata management, and data lineage.\nStrong understanding of relational and non-relational databases.\nExperience with enterprise data integration platforms and tools.\nAbility to work independently while providing technical leadership to other engineers.\nPreferred Qualifications\nExperience with Qlik Replicate.\nExperience with IBM InfoSphere DataStage.\nExperience with IBM CP4D.\nExperience developing and integrating APIs.\nExperience with NoSQL databases.\nExperience working with Git and DevOps practices.\nExperience in large-scale enterprise environments.\nStrong communication and cross-functional collaboration skills.\nWork Environment\nThis is an onsite position that requires the ability to work from the client site on a regular basis.\nKaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.","description_format":"text","description_chars":3776,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Design & Creative","Software","Custom Software 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