Data Engineer

Logo of CapTech

CapTech

📍Remote - United States

Job highlights

Summary

Join CapTech as a Data Engineer – Cloud and help clients build and maintain advanced data systems using AWS, Azure, or GCP. You will develop data pipelines, advise on cloud technologies, solve complex data problems, and collaborate with various teams. This role requires experience with cloud platforms, data architecture, and databases, along with strong SQL skills. CapTech offers a comprehensive benefits package including generous PTO, health coverage, disability insurance, paid family leave, remote work flexibility, learning and development programs, and unique benefits like a stipend program and fertility coverage.

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 required based on business needs
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning

Responsibilities

  • Develop data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Advise clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
  • Utilize your skills in engineering best practices to solve complex data problems
  • 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
  • Articulate architectural differences between solution methods and the advantages/disadvantages of each

Preferred Qualifications

  • Demonstrable experience with technologies in some of these categories: Languages: SQL, Python, Java, R, C# / C++ / C
  • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
  • DevOps: git, docker, subversion, Kubernetes, Jenkins
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
  • Popular Certifications: 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 remote and hybrid workforce and empowers daily flexibility while servicing our clients
  • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
  • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
  • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities
  • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

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