{"id":1279953,"url":"https://alion.io/job/bright-vision-technologies-etl-developer-bright-vision-technologies-4","title":"ETL Developer - Bright Vision Technologies","company":{"id":452187,"name":"Bright Vision Technologies","domain":"brightvisiontechnologies.com","url":"https://alion.io/company/bright-vision-technologies-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":115000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"DataStage","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Informatica","optional":false},{"name":"Jenkins","optional":false},{"name":"Pentaho","optional":false},{"name":"PostgreSQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Talend","optional":false},{"name":"Teradata","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Apache Kafka","optional":true},{"name":"BigQuery","optional":true},{"name":"Data Vault","optional":true},{"name":"Databricks","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Master Data Management","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"closed","first_seen_at":"2026-09-26T02:32:48Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-29T23:40:29Z","board_verified":false,"closed_at":"2026-09-29T23:40:29Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"ETL Developer - Remote\nBright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.\nThis is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.\nJob Title: ETL Developer\nLocation: 100% Remote (U.S.)\nPosition Type: Full-time, Direct W2\nSalary Range: $115,000-$175,000 Annually\nExperience Required: 5+ years\nSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.\nJob Summary\nWe are seeking an experienced ETL Developer to design, develop, and optimize enterprise-scale data integration solutions supporting business intelligence, analytics, regulatory reporting, and cloud data modernization initiatives. This role focuses on building high-performance ETL pipelines that ingest, transform, validate, and deliver data from diverse operational systems into enterprise data warehouses and cloud-based analytics platforms.\nYou will collaborate with data architects, data engineers, business analysts, cloud engineers, and BI developers to develop scalable data integration frameworks, automate complex workflows, and ensure the delivery of high-quality, trusted data across the organization. The ideal candidate combines strong ETL development expertise with advanced SQL skills, cloud data platform experience, and a deep understanding of data warehousing and enterprise data governance.\nKey Responsibilities\nDesign, develop, and maintain enterprise ETL/ELT pipelines for large-scale data integration projects. \nBuild scalable data ingestion workflows that extract data from relational databases, cloud applications, APIs, flat files, and enterprise systems. \nDevelop transformation logic for cleansing, standardizing, validating, and enriching large datasets. \nDesign and optimize batch and near real-time data processing pipelines supporting business-critical reporting and analytics. \nImplement Slowly Changing Dimensions (SCD), Change Data Capture (CDC), incremental loading strategies, and data reconciliation processes. \nDevelop reusable ETL frameworks, metadata-driven workflows, and parameterized jobs to improve maintainability. \nPerform source-to-target mapping, data profiling, and data quality analysis during project implementation. \nOptimize ETL job performance by improving SQL queries, partitioning strategies, indexing, and parallel processing. \nMonitor ETL workflows, troubleshoot production failures, and implement proactive alerting and recovery mechanisms. \nCollaborate with cloud engineers to migrate legacy ETL workloads to Azure or AWS cloud platforms. \nParticipate in data architecture discussions, code reviews, deployment planning, and production support. \nEnsure data security, governance, auditability, and regulatory compliance across enterprise data pipelines. \nRequired Skills\nFive or more years of professional experience developing enterprise ETL solutions. \nStrong hands-on experience with ETL platforms such as Informatica PowerCenter, SSIS, Talend, IBM DataStage, or Pentaho. \nAdvanced SQL development skills with SQL Server, Oracle, PostgreSQL, Snowflake, or Teradata. \nStrong understanding of relational databases, dimensional modeling, star schema, snowflake schema, and data warehousing principles. \nExperience designing ETL workflows involving complex transformations, joins, aggregations, lookups, and data validation. \nHands-on experience implementing Change Data Capture (CDC), Slowly Changing Dimensions (SCD Type 1 & Type 2), and incremental loading techniques. \nExperience working with cloud data platforms including Azure Data Factory (ADF), AWS Glue, or Google Cloud Data Fusion. \nExperience integrating structured and semi-structured data formats including JSON, XML, CSV, Parquet, and Avro. \nFamiliarity with scripting languages such as Python, PowerShell, or Shell scripting for ETL automation. \nExperience scheduling workflows using Control-M, Autosys, Apache Airflow, Azure Data Factory, or enterprise schedulers. \nExperience with Git, Azure DevOps, Jenkins, or other CI/CD tools for ETL deployments. \nStrong debugging, troubleshooting, and ETL performance tuning skills. \nExperience working with Agile Scrum teams and enterprise SDLC processes. \nPreferred Qualifications\nExperience with cloud data warehouses including Snowflake, Azure Synapse Analytics, Amazon Redshift, or Google BigQuery. \nKnowledge of Apache Spark, Databricks, PySpark, or distributed data processing frameworks. \nExperience implementing enterprise Master Data Management (MDM) and Data Quality solutions. \nFamiliarity with streaming technologies including Apache Kafka, Azure Event Hub, or Amazon Kinesis. \nExperience developing metadata-driven ETL frameworks and reusable integration components. \nKnowledge of Data Vault 2.0 architecture and modern data lakehouse concepts. \nFamiliarity with DevOps practices for data engineering and automated ETL deployments. \nExperience with BI platforms including Power BI, Tableau, or Qlik for downstream reporting integration. \nUnderstanding of data governance frameworks, lineage, cataloging, and regulatory compliance. \nCloud certifications in Azure, AWS, Snowflake, or Informatica are highly desirable. \nProject Environment\nYou will be joining an enterprise data engineering team responsible for modernizing data integration and analytics platforms supporting multiple business units across financial services, healthcare, insurance, and retail industries. Current initiatives include:\nEnterprise data warehouse modernization to Snowflake and Azure Synapse \nCloud-based ETL migration from legacy on-premises platforms \nReal-time data ingestion and analytics pipelines \nCustomer 360 and Master Data Management initiatives \nRegulatory reporting and compliance data solutions \nData Lake and Lakehouse architecture implementation \nEnterprise reporting platforms supporting executive dashboards and operational analytics \nHigh-volume data pipelines processing billions of records from ERP, CRM, HR, and financial systems \nThis is a hands-on engineering role where you will contribute to data architecture, ETL development, cloud migration, performance optimization, production support, and continuous improvement of enterprise data integration solutions.\nHow to Apply\nWould you like to know more about this opportunity? For immediate consideration, please send your resume to  or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.\nBright Vision Technologies is an Equal Opportunity Employer\nEqual Employment Opportunity (EEO) Statement\nBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.\nBV Teck expressly prohibits any form of workplace harassment or discrimination. 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