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The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
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5+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality.
$155,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Software Engineering Manager I/II - Data at Measures for Justice, you will support a team of engineers working across critical initiatives. Our data engineering tech stack includes R, SQL, Kotlin, GitHub Actions, Docker, Kubernetes, Postgres, and AWS.
$155,258 - $167,679 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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You will be challenged to raise your voice in support of modern software engineering practices to keep humans and machines focused on their strengths and remove bureaucracy. Successful implementation or usage of modern software engineering or observability tools to solve a key financial industry business or support critical systems.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Bachelor's degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. Relevant work experience in credit analysis of debt / capital markets, credit analysis / research, quantitative finance, model development or validation.
$58,300 - $115,850 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 4+ years of experience as a senior data/product analyst, preferably within a fast-growing B2B SaaS company Proven experience using SQL, Python/R - advantage Knowledge and a solid understanding of big data and ETL process Experience working with BI & visualization tools (Looker, Tableau, Mixpanel, etc.
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Develop expertise on the Capital One threat landscape using internal data, threat trends, and operational metrics to clearly communicate the Capital One threat landscape to senior executives, to include the Chief Information Security Officer and Chief Information Officer.
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STV, a nationally recognized leader is seeking an experienced Traffic Engineering Specialist to join our growing transportation engineering team in one of the following offices: Newark (NJ), Lawrenceville (NJ), Philadelphia (PA), Pittsburgh (PA), Harrisburg (PA), or Douglassville (PA.
$64,044 - $85,392 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong understanding of data management concepts, data engineering, data governance, and related technologies. You will collaborate closely with cross-functional teams, including data engineering, data science, Product and business stakeholders, to deliver robust and scalable marketing data products that meet the needs of our organization.
$135,000 - $169,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with technologies like BigQuery, Airflow, Fivetran, Snowflake, DBT (or related), and a strong background in distributed data processing, data modeling, and software engineering of data services.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You'll have access to an expansive team across product, engineering, design, analytics, marketing, legal, talent, finance, and venture capital available to help advise & scale the portfolio organization quickly.
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Proven experience in Azure data engineering with a focus on Databricks. Azure Databricks Data Engineer Professional Certificate is required( Certification ID DP-203). Certification Requirement : Candidates must possess the Azure Databricks Data Engineer Professional Certification (Certification ID: DP-203.
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The ideal candidate is a process control engineer with capital project experience who is energetic, driven, adaptable, and a team player with strong communication and organizational skills.
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software engineering capital one data jobs Title: engineer lead data Company: Capital One in Kearny, NJ
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