Data quality frameworks jobs Skill: Data quality frameworks DBA 4
UNICON International, Inc. · Remote, US· Remote · Full-time · Senior
Senior Data Platform Architect & Governance Specialist
Diversified Systems, Inc. · Remote, USRemote · Senior
Data Analyst
Mastercard · Lisbon, Portugal
Data Engineer, Market Data
MIO Partners · New York, US· Hybrid · Full-time · Mid
AWS Data Engineer
EGROVE SYSTEMS CORPORATION · Remote, USRemote · Contract · Senior
Senior Data Engineer
S R INTERNATIONAL INC · Remote, USRemote · Senior
Data Analyst or Engineer - Technology Consulting
EY · Wellington, New ZealandHybrid · Senior
Software Engineer - Risk Control & Governance
Wise · London, United Kingdom
Lead - Data Engineering
Syngene International Limited · Remote, IndiaRemote
Senior Data Engineer
Las Vegas Sands Corp. · Dallas, USSenior
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UNICON International, Inc. · Posted Nov 6, 2026
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Senior Data Platform Architect & Governance Specialist
Design and maintain ELT pipelines Perform query and cluster tuning Migrate legacy databases Design scalable Medallion Data Architecture Establish data lake standards Bachelor’s Degree in Data Analytics Bachelor’s Degree in Computer Science Bachelor’s Degree in Information Technology Bachelor’s Degree in Computer Engineering Nice to have: Experience with Snowflake cloud-native architecture Medical insurance Dental insurance Vision insurance 401(k) Standard benefits Diversified Systems, Inc. · Posted Nov 6, 2026
Design, implement, and support enterprise data warehouse, data lake, and Lakehouse solutions, including ELT pipelines, Medallion Architecture, data governance, and business intelligence.
Design and maintain programmatic ELT pipelines using SQL, Python, and modern cloud data tools Conduct query and cluster tuning for modern cloud data platforms Develop code to migrate legacy databases into automated Lakehouse ingestion pipelines Work with IT Architecture staff to design and implement a scalable, secure Medallion Data Architecture across cloud environments Establish standards, schemas, and file formats including Iceberg and Parquet Bachelor's Degree in Data Analytics, Computer Science, Information Technology, Computer Engineering, or a closely related field Nice to have: Define technical standards Nice to have: Lead complex cross-functional initiatives Nice to have: Familiarity with data modeling tools Nice to have: Experience with dbt Mastercard · Posted Nov 9, 2026
Design, develop, and maintain scalable ETL/ELT pipelines supporting enterprise data and analytics initiatives.
Design, develop, and maintain scalable ETL/ELT pipelines supporting enterprise data and analytics initiatives. Build and optimize batch and real-time data processing solutions using SQL, Python, Spark, and related technologies. Ensure data availability, accuracy, consistency, and reliability across data platforms and pipelines. Implement data quality controls, testing frameworks, monitoring, and observability practices to support trusted data products. Apply engineering best practices including version control, CI/CD, DataOps, and automated deployment methodologies. Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. Nice to have: PySpark Nice to have: Hadoop ecosystem Nice to have: GitLab Nice to have: Jenkins MIO Partners · Posted May 11, 2026
Build and scale market data platform, ingest, transform, and ensure quality of market data for research and trading workflows.
Build and maintain ETL/ELT pipelines for market and reference data Support data ingestion, transformation, and loading across systems Monitor pipeline performance and troubleshoot issues under guidance Analyze vendor datasets across asset classes and map them to the MIO canonical data model Integrate data from providers such as Bloomberg and Refinitiv; normalize and standardize datasets for firmwide use Bachelor’s or master’s in computer science, engineering, or a related quantitative field EGROVE SYSTEMS CORPORATION · Posted Nov 6, 2026
S R INTERNATIONAL INC · Posted Nov 6, 2026
Senior Data Engineer & Analytics Consultant supporting the Pennsylvania Longitudinal Data System (PALDS).
Design, build, and maintain scalable data pipeline architectures. Develop cloud-based data solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda. Build and maintain data orchestration workflows using Apache Airflow, AWS Step Functions, or similar tools. Integrate, transform, and process large datasets from multiple sources. Develop analytical data environments supporting statistical analysis, predictive modeling, and machine learning. Senior Consultant to build data solutions for clients, combining analysis and engineering to deliver trusted data and business outcomes.
Salary: We offer a competitive salary which is open to negotiation pending on skills and experience.
Analyse and profile source data Work with stakeholders to capture requirements Implement data quality frameworks Investigate data quality issues Deliver data migration activities Wise · Posted Nov 9, 2026
Build and maintain governance, assurance, and data foundations for Wise’s Risk & Control Governance platform.
Build data quality monitoring, data contracts, and lineage tracking Design and build automated monitoring systems for continuous assurance Create audit trail infrastructure and explainability tooling Integrate governance and assurance capabilities into the Risk API platform Syngene International Limited · Posted Nov 2, 2026
Lead the data engineering team to support, maintain, and enhance PDS data products and ETL pipelines.
Support, maintain, and enhance PDS data products, ETL pipelines built using DBT, AWS Glue, Databricks, and other cloud‑native technologies. Analyze, troubleshoot, and resolve production incidents, ensuring high availability, reliability, and adherence to SLAs. Develop pipeline enhancements, bug fixes, and operational automation to improve platform performance, scalability, and operational efficiency. Ensure data quality, integrity, and operational stability through validation, monitoring, root cause analysis, and proactive issue resolution. Collaborate with Analytics Engineering, Cloud Engineering, and Business teams to support feature releases, production deployments, and continuous improvements. Nice to have: data governance Nice to have: access management Nice to have: IAM Nice to have: data security Nice to have: compliance Las Vegas Sands Corp. · Posted Nov 4, 2026
Design, build, and maintain scalable data pipelines, lakehouse models, and analytics services for casino management systems.
Design, build, and maintain components of the Iceberg Data Lakehouse Develop and maintain complex data pipelines using Python and Apache Kafka Build and maintain curated data models and semantic layer in Dremio Build and maintain data access layer for downstream consumers Implement integrations with diverse data sources via Kafka and Dremio Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field Nice to have: Gaming or casino industry experience
medical dental vision telemedicine life
Yearly wellness incentive 8 weeks flex leave per year 26 weeks gender-neutral paid parental leave
Data AnalystNewMastercard · Lisbon, Portugal
Senior Data EngineerNewS R INTERNATIONAL INC · Remote, US
Lead - Data EngineeringNewSyngene International Limited · Remote, India