Top 8 Data scientist/data engineer mid Jobs in Columbus

Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Columbus, OH
- Full-time
- Azure
- DevOps
- Mid-level
- Loan repayment program
- Disability insurance
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Senior Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Columbus, OH
- Full-time
- 5 years
- DevOps
- Office
- Loan repayment program
- Disability insurance
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Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
- Full-time
- Azure
- Management
- DevOps
- Loan repayment program
- Disability insurance
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Staff Software Engineer - Hybrid
The Hartford —Columbus, OH
- $116,000 - $174,000 a year
- Full-time
- Hybrid work
- Computer science
- 6 years
- Computer Science
Lead Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
- Full-time
- 7 years
- Azure
- Management
- Loan repayment program
- Disability insurance
Quick Apply
Solid Waste Lead
HDR —Columbus, OH
- $109,970 - $157,100 a year
- Full-time
- 7 years
- Microsoft Excel
- Bachelor's degree
- Paid holidays
- Disability insurance
Sales Performance Management, Functional Transformation Manager
Deloitte —Columbus, OH
- $130,800 - $241,000 a year
- Full-time
- Up to 50% travel
- 5 years
- Bachelor of Science
10d
Mid-level Experimental Quantum Scientist/Researcher
Battelle —Columbus, OH
- Full-time
- Hybrid work
- Mid-level
- Office
- Doctor of Philosophy
- Wellness program
- Health insurance

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Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Columbus, OH
Experience in the design and implementation of data architecture solutions. Learning & Development – Programs offering certification and tuition support,…
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Senior Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Columbus, OH
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
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Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Columbus, OH
Experience in the design and implementation of data architecture solutions. Learning & Development – Programs offering certification and tuition support,…
Quick Apply
Senior Data Engineer (AWS, Azure, GCP)
CapTech Consulting —Columbus, OH
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
Quick Apply

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Data Engineer (AWS, Azure, GCP)

CapTech Consulting -
Columbus, OH

Quick Apply

Job Details

Full-time

Benefits

Loan repayment program
Disability insurance
Health insurance
Paid time off
Family leave
401(k) matching

Qualifications

Cloud analytics services
Microsoft Certified: Azure Fundamentals
Databricks
Data Integration (Data management)
Azure
DevOps
C#
Spark
R
Git
Mid-level
Business consulting
Snowflake
Java
SQL
Database server management
Technical solutions implementation
Data Architecture Design (Architecture design skills)
Production systems
Cloud database architecture
Docker
C
SVN
Technology advisory
Kafka
Redshift
DevOps automation
AWS Certified Cloud Practitioner – Foundational
Jenkins
Amazon Kinesis

Full Job Description

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.

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 remotely 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 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].

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.

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data scientist/data engineer mid jobs in columbus

Data Engineer (AWS, Azure, GCP)

Senior Data Engineer (AWS, Azure, GCP)

Machine Learning / Data Science Engineer

Staff Software Engineer - Hybrid

Lead Machine Learning / Data Science Engineer

Solid Waste Lead

Sales Performance Management, Functional Transformation Manager

Mid-level Experimental Quantum Scientist/Researcher

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