Data Engineer (AWS, Azure, GCP)

CapTech Consulting; Charlotte (NC); Hybrid; USD 95,000 - 150,000; Full time

Benefits offered by this job

Flexible work environment

Learning & Development – certification

Modern Health

Carrot Fertility

Fringe stipend program

Employee Resource Groups

Philanthropic Partnerships

401(k) Matching

Job summary

CapTech is seeking a Data Engineer – Cloud to build and maintain data pipelines across AWS, Azure, or GCP, enabling clients to access trusted data for analytics and decision making.

You will collaborate with data scientists, analysts and developers to deliver scalable cloud data solutions, apply best practices, and help clients realize value from their data assets. CapTech offers growth and a collaborative culture.

Qualifications

• Experienced 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 datapipelines.
• 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

• 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.
• 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.

Skills

SQL

Python

Java

R

C# / C++ / C

Spark

Databricks

Kafka

Kinesis

Hadoop

Lambda

EMR

AWS Cloud Practitioner

Microsoft Azure Data Fundamentals

Google Associate Cloud Engineer

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 sourcesin order to enabledecision-makers.We build pipelines and prepare data for use by data scientists, data analysts, and other data systems.We love solving problems and providing creative solutions for our clients.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.

Specific responsibilities for theData Engineer – Cloudposition 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 efficientlyingest and process dataquickly
• Utilizing your skills in engineering best practices to solve complex dataproblems
• Collaboratingwith end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.
• Articulatingarchitectural differences between solution methods and the advantages/disadvantages of each

Qualifications

Typical experience forsuccessful candidates includes:

• Experiencedelivering solutionson a major cloudplatform
• Abilityto think strategically and relate architectural decisions/recommendations to business needs and clientculture
• Experience in the design and implementation of data architecture solutions
• A widerangeofproduction database experience, usually including substantial SQL expertise, database administration, and scripting datapipelines
• Abilityto assessand utilizetraditional and modern architectural componentsrequiredbased 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.

Skills:

Successful candidates usually have demonstrable experience with technologies insome ofthese categories:

• Languages: SQL, Python, Java, R, C# / C++ / C
• Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
• PopularCertifications: AWS Cloud Practitioner,Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs.

• CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remote 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 forcare
• 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-ledcommitteesthatembrace and incorporate diversity and inclusion into ourday-to-dayoperations
• 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

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.

We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace.

For more information about our Diversity, Inclusion and Belonging efforts,clickHERE .

As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email [e-mail].

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.