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Data Engineer (AWS, Azure, GCP)

Company 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. 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 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 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 

Qualifications

Typical experience for successful candidates includes:    

  • 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. 

Skills: 

Successful candidates usually have demonstrable experience with technologies in some of these categories:  

  • 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 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. 

  • CapFlex – Employee-first mentality that supports a remote and hybrid workforce and empowers daily flexibility while servicing our clients
  • 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 – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • 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

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, click HERE.  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 [email protected].

CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $75,000 - $150,000.

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.  

#LI-LM1 

Average salary estimate

$112500 / YEARLY (est.)
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$75000K
$150000K

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What You Should Know About Data Engineer (AWS, Azure, GCP), CapTech Consulting

Are you ready to take your career to the next level as a Data Engineer with CapTech? Located in the vibrant city of Chicago, IL, CapTech is an award-winning consulting firm that prides itself on fostering strong relationships while harnessing the power of technology to achieve remarkable results for our clients. In the role of Data Engineer focusing on cloud platforms like AWS, Azure, or GCP, you will empower clients to build sophisticated data systems that consolidate information from disparate sources. Your role entails developing data pipelines and creating data products that optimize decision-making processes. At CapTech, collaboration and continuous learning are at the heart of what we do. You will partner with data scientists, analysts, and developers to solve complex data challenges using best practices in engineering. If you have experience in designing data architecture and possess strong SQL skills, you’ll fit right in as you advise clients on technology choices that enable efficient data processing. Think strategically and leverage your hands-on experience to create tailored solutions that align with client needs. With our commitment to employee growth, you’ll have access to a variety of career progression paths, a comprehensive benefits package, and a supportive environment that champions diversity and inclusion. If you’re looking to make a significant impact and grow your skills at an innovative firm, consider joining us as a Data Engineer at CapTech.

Frequently Asked Questions (FAQs) for Data Engineer (AWS, Azure, GCP) Role at CapTech Consulting
What are the primary responsibilities of a Data Engineer at CapTech?

As a Data Engineer at CapTech, your main responsibilities include developing data pipelines and products using cloud technologies such as AWS, Azure, and GCP, advising clients on effective use of cloud resources, and collaborating tightly with end users and business analysts to ensure optimal data architecture solutions fit within client ecosystems. Your work will focus on resolving complex data challenges and maximizing the value of client data.

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What qualifications do I need to apply for the Data Engineer position at CapTech?

To qualify for the Data Engineer role at CapTech, candidates should have experience delivering solutions on major cloud platforms, strong SQL expertise, and practical knowledge in designing data architecture solutions. Familiarity with various programming languages, database management, and DevOps practices will greatly enhance your application. A proactive mindset and the ability to relate technical solutions to business needs are also essential.

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What technologies should a Data Engineer at CapTech be familiar with?

Data Engineers at CapTech typically have experience with a variety of technologies including SQL, Python, Java, and cloud databases such as Snowflake and AWS Redshift. Knowledge of data processing frameworks like Spark or Docker can also be beneficial. Additionally, familiarity with DevOps tools like Kubernetes and Jenkins is advantageous as it helps streamline the data pipeline processes.

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How does CapTech support the career development of Data Engineers?

At CapTech, career development is prioritized. We offer customizable career paths, certification and tuition support, mentorship programs, and access to digital learning resources to help Data Engineers reach their professional goals. Our commitment to ongoing learning ensures you have opportunities to grow your skills and advance in your career.

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What is the typical salary range for a Data Engineer at CapTech?

The salary range for a Data Engineer at CapTech typically falls between $75,000 and $150,000, depending on experience and skill level. This competitive base pay reflects our commitment to equal pay and is indicative of the value we place on the contributions of our data engineering team.

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Common Interview Questions for Data Engineer (AWS, Azure, GCP)
Can you describe your experience with developing data pipelines in cloud platforms?

When answering this question, highlight specific projects where you created data pipelines using cloud technologies like AWS or GCP. Discuss the challenges you faced, the tools you used (e.g., AWS Lambda, Azure Data Factory), and the impact your pipelines had on data processing efficiency.

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How do you approach problem-solving within data architecture?

Emphasize your analytical skills by explaining how you assess a problem, identify root causes, brainstorm potential solutions, and test those solutions. Use an example to illustrate your systematic approach to addressing data architecture challenges.

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What strategies do you use to optimize data processing in the cloud?

Discuss specific strategies such as implementing data partitioning, leveraging caching mechanisms, and using efficient data formats. Mention how these strategies contribute to reduced latency and improved performance in data access.

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How do you ensure collaboration with non-technical stakeholders when designing data solutions?

Talk about your ability to communicate complex technical concepts in layman’s terms and how you gather requirements through meetings or workshops with stakeholders. Providing examples of successful collaborations can strengthen your response.

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What experience do you have with SQL and other programming languages in your roles?

Share specific examples of how you've utilized SQL for data querying and manipulation, and mention your proficiency in other languages like Python or Java. Include any projects where you built scripts or automated tasks using these languages.

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Can you give an example of a successful data project you've worked on?

Provide an in-depth description of a project, from conception to execution. Detail the objectives, the technologies used, the role you played, and the outcomes achieved. This showcases your ability to deliver results.

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What challenges have you faced when integrating data from multiple sources?

Highlight specific challenges like data quality issues or format mismatches. Explain how you approached these challenges and the solutions you implemented, such as data cleansing techniques or using ETL processes.

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How do you maintain data security and compliance in your projects?

Discuss best practices for data security such as encryption, access controls, and compliance frameworks. Illustrating your knowledge of relevant regulations like GDPR can also position you as a strong candidate.

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What tools do you prefer for source control and why?

Share your preferred source control tools (e.g., Git) and discuss how they enhance collaboration and version management in your projects. Explain any specific experiences that highlight your proficiency with these tools.

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How do you stay updated with the latest trends in data engineering?

Communicate your commitment to continuous learning by mentioning specific blogs, courses, conferences, or online communities you participate in. This shows your proactive approach to staying current in the fast-evolving field of data engineering.

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CapTech, founded in 1997 and headquartered in Richmond, Virginia, is an IT management consulting firm that bridges the gap between business and technology.

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Full-time, hybrid
DATE POSTED
March 19, 2025

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