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Data & Technology Jobs in Chicago

Our Data & Technology team focuses on the roles that sit behind Analytics. From Data Scientists and Data Engineers to the teams that design and build data warehouses and those that manage data quality, MI reporting and Business Intelligence.

Harnham understand these skill areas, from the technologies to the tools, the environments to the individuals.

View our Data & Analytics Jobs in Chicago here now.

Latest Jobs

Senior Manager, Data Engineering & Data Science
Salary

US$165000 - US$180000 per year

Location

New York

Description

Are you looking for a role that will allow you to blend your data engineering and data science backgrounds together?

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Data Engineer-Marketing
Salary

US$150000 - US$175000 per annum

Location

New York

Description

Do you want to use your Data Engineering skills to improve digital marketing performance?

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Senior Data Engineer
Salary

US$155000 - US$170000 per annum + + Bonus

Location

Philadelphia, Pennsylvania

Description

If you are interested in working at a globally leading company working alongside incredible minds then this is the role for you.

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Tableau Developer
Salary

US$70000 - US$80000 per annum + Additional Benefits

Location

Boston, Massachusetts

Description

A very exciting electronics and technology business are looking to bring in a sharp, experienced professional in Tableau to join their team in Boston!

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Senior Data Engineer
Salary

US$150000 - US$170000 per annum

Location

New York

Description

I'm looking for Senior Data Engineers to join the leading provider of connecting people to digital and live events across the globe.

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Senior Data Engineer
Salary

US$160000 - US$170000 per annum

Location

New York

Description

I'm looking for a Senior Data Engineer to join a Non-profit/Education company that is rapidly scaling its Data Engineering/Architecture division.

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Senior Manager Data Engineering
Salary

US$180000 - US$200000 per annum + BONUS

Location

New Jersey

Description

Looking for talented Senior Data Engineers for a role in managment focused on cloud based tech and big data.

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Head of BI & Data
Salary

US$150000 - US$180000 per annum

Location

New York

Description

Looking for a Head of BI & Data to lead data engineering and BI efforts for internal reporting, data analytics, and machine learning.

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Senior Data Engineer
Salary

US$150000 - US$170000 per annum + + Bonus

Location

Trenton, New Jersey

Description

This is a great opportunity to grow and develop your skills while working at an incredible organization.

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Senior Software Engineer
Salary

US$155000 - US$175000 per annum

Location

New York

Description

Health tech They are looking for a Senior Software Engineer developing/enhancing data pipelines and infrastructure for internal teams and clients.

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Principal Software Engineer
Salary

US$160000 - US$180000 per year

Location

New York

Description

New and exciting opportunity to use your software engineering skills to help save lives. Work with cutting-edge technology to solve real problems.

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Senior Manager, Data Engineering & Data Science
Salary

US$165000 - US$180000 per annum

Location

New York

Description

Are you passionate about building a better healthcare system using advanced Data Engineering?

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Bridging the Gap: The Role of a DevOps Engineer

Siloed teams are swiftly becoming a thing of the past as organizations learn collaboration is key. Businesses are embracing transformation. But some may not know where to turn to help them manage such a massive restructuring of operations. Enter the DevOps Engineer. Yes, Virginia. The unicorn employee does exist. What is a DevOps Engineer? For many businesses, it’s a dream to find a technical person who can also communicate across departments. In the DevOps Engineer role is an IT Generalist who not only has a deep understanding of codes, infrastructure management, and agile familiarity but who also possesses interpersonal skills. It’s this combination that makes this role so imperative to businesses. Working across siloes and bringing teams together for collaboration bridges the gap between the technical and non-technical departments. One of their most important roles is as advocate. Moving from siloed teams to the more collaborative environment of a DevOps culture can be difficult for engineering team members. But as advocate for the benefits, the DevOps Engineer can explain it best to those with whom they’ve worked. Their technical expertise puts them on par with their peers and their interpersonal skills offer a way to communicate across the organization.   Want to Restructure Your Skills toward DevOps? If you’re an IT Generalist with great communication skills. DevOps Engineer could be your next role. But what skills do you need and how might you streamline what you already know into this key role for many businesses? Technical skills depend on team structure, technologies in place, and tools already in use. But the key element of a DevOps Engineer is their strong communication and collaborative skills. Can you morph your technical world into layman’s terms for the executives? Can you translate different needs across teams from QA testers to software developers, generalists and specialists alike? It’s this deep understanding which makes you so valuable to employers. For many organizations, this is the best of both worlds.  Knowing the pros and cons of available tools. Understanding the components of a delivery pipeline. And strong communication skills to bridge once siloed teams into a cohesive and collaborative environment. More technical skills include, but aren’t limited to System administration – such as managing servers, database deployment, and system patching just to name a few.Experience with DevOps tools – understand the lifecycle from building and infrastructure to operating and monitoring a product or service.Configuration management – experience with configuration management tools such as Chef, Puppet, or Ansible to automate admin tasks.Continuous Integration (CI) and Continuous Deployment (CD) – this is a core practice of DevOps. It’s this role’s approach to software development with tools to automate the building, testing, and deploying of software processes. System architecture and provisioning – ability to design and manage computer ecosystems whether in-office or in the cloud. Within this skillset is the importance of Infrastructure as Code (IaC). This is an IT management process that applies best practices from software development to cloud infrastructure management.  Collaborative management skills – while the CI/CD skills are core to the technical side, this is one of the key components for the soft skills required for a DevOps structure. In a Nutshell DevOps (Development + Operations) is a practice that involves new management principles and requires a cultural change. And a DevOps Engineer is the heart of the transformation. Yet they can’t do it alone. A good DevOps Team has more than just one engineer. It involves a mix of generalists and specialists to implement and improve these practices within the software development cycle. A few of these roles include:  DevOps evangelist Automation expert Software developer Quality assurance  If you’re interested in Big Data and Analytics, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

Kavya Kannan

Kavya Kannan

15. April 2021

Why You Should Always Be Learning In Data Science: Tips From Kevin Tran

Last month we sat down with Kevin Tran, a Senior Data Scientist at Stanford University, to chat about Data Science trends, improvements in the industry, and his top tips for success in the market.  As one of LinkedIn’s Top Voices of 2019 within Data & Analytics. his thoughts on the industry regularly garner hundreds of responses, with debates and discussions bubbling up in the comments from colleagues eager to offer their input.  This online reputation has allowed him to make a name for himself, building out his own little corner of the internet with his expertise. But for Tran, it’s never been about popularity. “It’s not about the numbers,” he says without hesitation. “I don’t care about posting things just to see the number of likes go up.” His goal is always connection, to speak with others and learn from them while teaching from his own background. He’s got plenty of stories from his own experiences. For him, sharing is a powerful way to lead others down a path he himself is still discovering.  When asked about the most important lesson he’s learned in the industry, he says it all boils down to staying open to new ideas.  “You have to continue to learn, and you have to learn how to learn. If you stop learning, you’ll become obsolete pretty soon, particularly in Data Science. These technologies are evolving every day. Syntax changes, model frameworks change, and you have to constantly keep yourself updated.”  He believes that one of the best ways to do that is through open discussion. His process is to share in order to help others. When he has a realisation, he wants to set it in front of others to pass along what he’s learned; he wants to see how others react to the same problem, if they agree or see a different angle. It’s vital to consider what you needed to know at that stage. Additionally, this exchange of ideas allows Tran to learn from how others tackle the same problems, as well as get a glimpse into other challenges he may have not yet encountered.  “When I mentor people, I’m still learning, myself,” Tran confesses. “There’s so much out there to learn, you can’t know it all. Data Science is so broad." At the end of the day, it all comes down to helping each other and bringing humanity back to the forefront. In fact, this was his biggest advice for both how to improve the industry and how to succeed in it. It’s a point he comes back to with some regularity in his writing. “It doesn’t matter how smart you are, stay humble and respect everyone,” one post reads. “Everyone can teach you something you don’t know.” Treating people well, understanding their needs, and consciously working to see them as people instead of numbers or titles—this, Tran argues, is how you succeed in the business. To learn and grow, you must work with people, especially people with different skills and mindsets. Navigating your career is not all technical, even in the world of Data. “The thing that cannot be automated is having a heart,” he tells me sagely. Beyond this, Tran stresses the need for a solid foundation. The one thing you can’t afford to do is take shortcuts. You have to learn the practicalities and how to apply them, but to be strong in theory as well.  Understanding what is happening underneath the code will keep you moving forward. He compares knowing the tools to learning math with a calculator. “If you take the calculator away, you still need to be able to do the work. You need the underlying skills too, so that when you’re in a situation without the calculator, you can still provide solutions.” By constantly striving to collaborate and improve, Tran believes the Data industry has the best chance of innovating successfully.  If you’re looking for a new challenge in an innovative and collaborative environment, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

William Reichert

William Reichert

19. March 2020

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