Captech Ventures - Columbus, OH

posted 3 months ago

Full-time - Mid Level
Columbus, OH
Professional, Scientific, and Technical Services

About the position

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer - Cloud position include developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). You will advise clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly. Utilizing your skills in engineering best practices, you will solve complex data problems and collaborate with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization. Additionally, you will articulate architectural differences between solution methods and the advantages/disadvantages of each. Successful candidates typically have experience delivering solutions on a major cloud platform, the ability to think strategically and relate architectural decisions/recommendations to business needs and client culture, and experience in the design and implementation of data architecture solutions. A wide range of production database experience is usually required, including substantial SQL expertise, database administration, and scripting data pipelines. You should also have the ability to assess and utilize traditional and modern architectural components required based on business needs, along with a demonstrable ability to deliver production data pipelines and other data products.

Responsibilities

  • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
  • Utilizing engineering best practices to solve complex data problems
  • Collaborating with end users, development staff, and business analysts to maximize the value of client data across the organization
  • Articulating architectural differences between solution methods and the advantages/disadvantages of each

Requirements

  • Experience delivering solutions on a major cloud platform
  • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture
  • Experience in the design and implementation of data architecture solutions
  • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines
  • Ability to assess and utilize traditional and modern architectural components based on business needs
  • Demonstrable ability to deliver production data pipelines and other data products

Nice-to-haves

  • Experience with SQL, Python, Java, R, C# / C++ / C
  • Familiarity with SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
  • Experience with DevOps tools such as git, docker, subversion, Kubernetes, Jenkins
  • Knowledge of additional technologies like Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
  • Popular certifications such as AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Benefits

  • Generous PTO
  • Health coverage
  • Disability insurance
  • Paid family leave
  • CapFlex - Employee-first mentality that supports a hybrid workforce
  • Learning & Development programs offering certification and tuition support
  • Modern Health - mental health and well-being platform
  • Carrot Fertility - inclusive fertility and family-forming coverage
  • Fringe - company paid stipend program for personalized lifestyle benefits
  • Employee Resource Groups - employee-led committees for diversity and inclusion
  • Philanthropic Partnerships - opportunities for community engagement
  • 401(k) Matching - generous matching and no vesting period
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service