Data Engineer (AWS, Azure, GCP)

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 View email address on click.appcast.io . 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. #J-18808-Ljbffr