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ABOUT US
HirexHire (pronounced hire by hire) is a Chicago-based recruiting and talent consultancy that integrates with companies short-term to provide long-term talent solutions. We take a seat in our client’s everyday operations to understand their people's goals, gaps, and challenges. We then develop and implement the processes and technologies to execute a sustainable and scalable talent plan.
We partner with companies expecting or experiencing high growth who need to hire at scale or fill a critical role rapidly. Our clients are not looking for quick-fix placements but are thoughtfully building a hiring strategy to scale their businesses.
OUR CLIENT
Location: Chicago, IL HQ (remote)
Industry:Healthcare Technology (SaaS)
Company Size: 50
What They Do: Our client is a cloud-based software platform and patient engagement technology that automates the collection of patient reported outcomes. It also offers procedure-specific education modules to help prepare patients for treatments and proactively monitors their recovery.
Contact HirexHire for more client information
THE ROLE
As a core member of our client’s Data Engineering team, the Data Engineer will work on a broad array of problems that rely on data to derive insights for the client's business and customers. You will collaborate cross-functionally with members of the Engineering, Product, Customer Success, and Marketing teams to make impactful contributions to the client’s data platform solutions. An ideal candidate will be diligent, curious, and self-motivated to unlock the power of data to transform the patient experience and drive positive healthcare outcomes.
This role is 100% remote within the U.S.
WHAT YOU WILL DO
Own the cleaning and processing of large, complex datasets using tools such as SQL and Python.
Design, develop, maintain, and streamline scalable data pipelines to support healthcare data analysis.
Maintain data quality by developing rigorous quality assurance checks throughout the ETL process.
Collaborate with other teams to integrate data from multiple sources.
WHAT YOU WILL NEED
2 years of experience as a Data Engineer.
Deep knowledge of SQL and at least one programming language (e.g., Python, Java, Ruby, etc.).
Experience working with large, complex datasets and experience designing, building, and maintaining ETL infrastructure in a production setting.
Requirements
WHAT OUR CLIENT OFFERS
• Competitive Salary
• Flexible, Unlimited PTO
• Health, Dental, and Vision Insurance
• Performance Bonuses
• Company 401K
• Professional Development Opportunities
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. HirexHire is dedicated to building diverse and inclusive teams for our clients, so if you are excited about this role but your experience doesn’t perfectly align, we encourage you to still apply! We may have another fit for you!
Full Time
$109k-134k (estimate)
01/29/2024
05/23/2024
The job skills required for Data Engineer (Remote) include SQL, Python, Data Engineering, Insight, Java, Data Quality, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer (Remote). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer (Remote). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer (Remote) positions, which can be used as a reference in future career path planning. As a Data Engineer (Remote), it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer (Remote). You can explore the career advancement for a Data Engineer (Remote) below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
01/22/2022: Fort Wayne, IN
Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
04/10/2022: Fayetteville, NC
Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.