Data Engineer (AWS, Azure, GCP)

CapTech is an award-winning consulting firm that collaborates with clients to achieve technology-driven outcomes. The Data Engineer – Cloud role builds and maintains advanced data systems, develops cloud-based data pipelines, advises clients on cloud technologies, and collaborates with technical and business stakeholders to maximize the value of organizational data.

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 your skills in engineering best practices to solve complex data problems

Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization

Articulating architectural differences between solution methods and the advantages/disadvantages of each

Benefits

A variety of career paths based on your skills and passions, with customizable career progression

Generous PTO

Health coverage

Disability insurance

Paid family leave

A flexible work environment and remote work when compatible with CapTech and client needs

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

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

Company

Technology consulting firm for organizations

Richmond, Virginia, USA

http://www.captechconsulting.com/

Founded in 1997

1001-5000 employees

Qualifications

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

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

Applicants must be authorized to work directly for any employer in the United States without visa sponsorship

Required skills

Cloud Data Engineering, Data Architecture, SQL, Data Pipeline Development, Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Python, Java, R, C#, C++, C, SQL Server, PostgreSQL, Snowflake, Amazon Redshift, Amazon Aurora, Presto, Google BigQuery, Oracle, Git, Docker, Subversion, Kubernetes, Jenkins, Apache Spark, Databricks, Apache Kafka, Amazon Kinesis, Hadoop, AWS Lambda, Amazon EMR, Database Administration

Experience

Mid level