CapTech
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. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
Responsibilities
Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Advising clients on 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 ensure 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
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 A demonstrable ability to deliver production data pipelines and other data products (hands-on experience, degree, certification, bootcamp, or other learning) Skills
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 Additional Information
We offer customizable career progression and a comprehensive benefits package, including PTO, health coverage, disability insurance, paid family leave, and extended benefits Learning & Development – certification and tuition support, digital on-demand learning, mentorship, and skill development paths Modern Health – mental health and well-being platform with 1:1 care, group support, and self-serve resources Carrot Fertility – inclusive fertility and family-forming coverage Fringe – stipend program for personalized benefits (e.g., Netflix, Spotify, GrubHub, student loan repayment, travel, fitness) Employee Resource Groups – diversity and inclusion initiatives Philanthropic Partnerships – pro-bono projects and community engagement 401(k) Matching – generous matching, with no vesting period CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness. We strive to create a diverse environment where each employee brings unique ideas and experiences. For more on Diversity, Inclusion and Belonging efforts, information is available. CapTech provides reasonable accommodations for applicants and employees with disabilities; please contact Laura Massa at lmassa@captechconsulting.com if accommodations are needed. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Consulting Industries
Business Consulting and Services
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Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Advising clients on 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 ensure 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
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 A demonstrable ability to deliver production data pipelines and other data products (hands-on experience, degree, certification, bootcamp, or other learning) Skills
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 Additional Information
We offer customizable career progression and a comprehensive benefits package, including PTO, health coverage, disability insurance, paid family leave, and extended benefits Learning & Development – certification and tuition support, digital on-demand learning, mentorship, and skill development paths Modern Health – mental health and well-being platform with 1:1 care, group support, and self-serve resources Carrot Fertility – inclusive fertility and family-forming coverage Fringe – stipend program for personalized benefits (e.g., Netflix, Spotify, GrubHub, student loan repayment, travel, fitness) Employee Resource Groups – diversity and inclusion initiatives Philanthropic Partnerships – pro-bono projects and community engagement 401(k) Matching – generous matching, with no vesting period CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness. We strive to create a diverse environment where each employee brings unique ideas and experiences. For more on Diversity, Inclusion and Belonging efforts, information is available. CapTech provides reasonable accommodations for applicants and employees with disabilities; please contact Laura Massa at lmassa@captechconsulting.com if accommodations are needed. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Consulting Industries
Business Consulting and Services
#J-18808-Ljbffr