Data Engineer (AWS, Azure, GCP)

CapTech; Reston (VA); Hybrid; USD 90,000 - 200,000; Full time

Benefits offered by this job

Flexible onsite/remote

Learning & development programs

Health & well-being platform

Fertility coverage

Fringe lifestyle stipend

Employee Resource Groups

Philanthropic partnerships

401(k) matching

Job summary

CapTech is seeking a Data Engineer – Cloud to help clients build and maintain advanced data systems. You will develop data pipelines across cloud platforms (AWS, Azure, GCP) and advise on technologies to ingest and process data quickly. You will work with analysts, developers, and end users to ensure data architectures unlock business value.

The role emphasizes hands-on data pipeline delivery, scalable architectures, and collaboration with clients to optimize data solutions across organizations.

Qualifications

• Experience delivering solutions on a major cloud platform.
• Ability to relate architectural decisions to business needs and client culture.
• Experience in the design and implementation of data architecture solutions.
• Substantial SQL expertise, database administration, and scripting data pipelines.
• Ability to evaluate traditional and modern components based on business needs.
• Hands-on experience delivering production data pipelines and data products.

Responsibilities

• Develop data pipelines and data products using AWS, Azure, or GCP.
• Advise clients on technologies and methodologies for cloud data ingestion and processing.
• Apply best engineering practices to solve complex data problems.
• Collaborate with end users, developers, and analysts to maximize data value.
• Articulate architectural differences and the pros/cons of each approach.

Skills

SQL

Python

Java

R

C#

C++

Tools

Git

Docker

Subversion

Kubernetes

Jenkins

Job description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid‑sized enterprises, and government agencies, a list that spans across the country.

Job Description

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. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future.

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)
• Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
• Utilizing best engineering 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

Qualifications

Typical experience for successful candidates includes:

• Experience delivering solutions on a major cloud platform
• Strategic thinking and the ability to relate architectural decisions to business needs and client culture
• Experience in the design and implementation of data architecture solutions
• Substantial SQL expertise, database administration, and scripting data pipelines across a range of production databases
• Ability to assess and utilize both traditional and modern architectural components based on business needs
• A demonstrable ability to deliver production data pipelines and other data products, supported by hands‑on experience, degree, certification, bootcamp, or other learning

Skills

• Languages: SQL, Python, Java, R, C#, C++
• Databases: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
• DevOps: Git, Docker, Subversion, Kubernetes, Jenkins
• Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
• Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Benefits

• Flexible work environment with onsite and remote options
• Learning & Development programs including certification, tuition support, digital courses, mentorship, and skill development paths
• Modern Health – mental health and well‑being platform with 1:1 care and self‑serve resources
• Carrot Fertility – inclusive fertility and family‑forming coverage for all paths to parenthood
• Fringe – company‑paid stipend program for lifestyle benefits (e.g., Netflix, Spotify, GrubHub, student loan repayment, travel, fitness)
• Employee Resource Groups fostering diversity and inclusion
• Philanthropic Partnerships supporting community projects
• 401(k) Matching – generous match with no vesting period

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. CapTech will ensure that persons with disabilities are provided reasonable accommodations. If accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits, please contact Laura Massa at [e-mail].

CapTech supports Equal Pay for all. In Virginia, we are committed to Equal Pay in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, relevant experience, job level, and geographic location; the base pay range is: $90,000 – $200,000.

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.