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As a Prototype and Sandbox Engineer, you'll contribute to Veev’s technological evolution in prefabricated home manufacturing and installation. Bachelor's degree in Mechanical Engineering, Structural Engineering, Architecture, or a related field.
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Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
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As the Mechanical Engineering Group Leader for Spartan® RV Chassis (A Shyft Group Brand) based at our brand new, state-of-the-art manufacturing facility in Charlotte, MI, you will be instrumental in shaping the design and evolution of Spartan's range of on-road, heavy-duty truck, and specialized vehicle offerings.
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As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain. Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. 4+ years of professional data engineering experience.
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What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting. What you’ll bring to Circle:For Senior Data Engineer (III)4+ years of professional data engineering experience.
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You will combine skills from DevOps/SRE, systems administration, and software development to influence product architecture and evolution by crafting reliable cloud-based infrastructure for internal and external services.
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Compliance policy, product or engineering experience in either banking, consulting, or cryptocurrency required. Lead the evolution of our existing tools and systems, making incremental improvements along the way while developing the solutions to reimagine those systems.
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Knowledge of best practices in software engineering for reproducibility and data management skillsAbility to work in and adapt to a fast-paced environment Preferred Qualifications: Experience with protein co-evolution analysisExperience with NGS and bioinformatics toolsExperience with agile methodologies.
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A key construct of EP&PE will be the evolution of the IT Product Manager, who will partner with the Engineering organization, the Business Aligned Service Delivery organization, the DevSecOps organization as well as our operational support teams to ensure that this organization provides high quality, commercially attractive and timely solutions to support our business strategy.
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Build deep relationships and create strategic alliances to establish trust with key stakeholders across legal, risk, compliance, engineering, product etc. 10+ years of relevant experience in implementing KYC, AML, or Sanctions technologies in scaled companies, including leading programs for Fintech or crypto businesses.
$187,500 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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With our team, you will be challenged to build scalable solutions, while embracing a fail-forward mentality critical to evolution. Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc. Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
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Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc. Speed and efficiency are motivators for our success and our employees live by our company values: Multistakeholder, Mindfulness, Driven by Excellence and High Integrity.
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Is your organization prepared for “career cushioning”?