Data Engineer

Posted 2 Days Ago
Be an Early Applicant
11 Locations
Remote
Mid level
Software • Consulting
The Role
Design, build, and maintain scalable cloud-native data pipelines and ELT/ETL workflows in AWS. Develop and optimize Snowflake data models, ingest structured and unstructured data, and use Databricks/Spark to process large datasets. Implement data quality, governance, monitoring, and orchestration. Collaborate with data scientists, analysts, and engineers to support analytics, reporting, and AI/ML initiatives while optimizing performance and cost.
Summary Generated by Built In

Jahnel Group’s mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. We get to build some of the most complex and compelling applications for our clients located across the country.

We’re a fast-growing INC 5000 recognized company, yet we still work as a very close-knit team (100+ employees). We’re growing like crazy, and if you’re looking for the next place to call home, hit us up for a beer or coffee.

Who We're Looking For

We’re looking for a Data Engineer who is passionate about building scalable, cloud-native data platforms that power analytics, AI, and business decision-making. You thrive in environments where data is treated as a product, enjoy solving complex engineering challenges, and can bridge the gap between raw data and actionable insights.

You’ll work closely with data, engineering, analytics, and AI teams to design and maintain modern data infrastructure that supports everything from reporting and business intelligence to machine learning and AI-driven initiatives.

Primary Responsibilities
  • Design, build, and maintain scalable data pipelines and ELT/ETL workflows in AWS
  • Develop and optimize data models within Snowflake to support analytics, reporting, and AI use cases
  • Build reliable ingestion frameworks for structured and unstructured data from multiple sources
  • Collaborate with data scientists, analysts, and software engineers to support machine learning and AI initiatives
  • Leverage Databricks and Spark-based technologies to process and transform large-scale datasets
  • Implement data quality, governance, monitoring, and observability best practices across the data platform
  • Optimize pipeline performance, scalability, reliability, and cost efficiency
  • Design and maintain cloud-native data architectures using AWS services such as S3, Glue, Lambda, Redshift, and related technologies
  • Automate data workflows and orchestration processes to improve operational efficiency
  • Participate in architecture discussions, code reviews, and continuous improvement initiatives
 Some Must-Haves:
  • 3+ years of experience in Data Engineering, Data Platform Engineering, or a related field
  • Hands-on experience with AWS cloud services
  • Experience designing, building, and maintaining data solutions in Snowflake
  • Experience working with Databricks or similar large-scale data processing platforms
  • Familiarity with modern AI/ML data ecosystems and supporting data pipelines for AI-driven applications
  • Experience building and optimizing data pipelines and data workflows
  • Strong understanding of data architecture, data modeling, and data warehousing concepts
  • Ability to work cross-functionally with engineering, analytics, and business stakeholders
  • Strong problem-solving and communication skills
Where We're Looking For It:Latin America
Open to 100% Fully Remote
Other Information

The work hours will be approximately 9:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. We work for security-conscious clients, thus background checks will be required.

Position available immediately.

Skills Required

  • 3+ years of experience in Data Engineering or related field
  • Hands-on experience with AWS cloud services
  • Experience designing, building, and maintaining data solutions in Snowflake
  • Experience working with Databricks or similar large-scale data processing platforms
  • Experience leveraging Spark-based technologies to process and transform large-scale datasets
  • Experience building and optimizing data pipelines and data workflows (ELT/ETL)
  • Strong understanding of data architecture, data modeling, and data warehousing concepts
  • Familiarity with modern AI/ML data ecosystems and supporting pipelines for AI-driven applications
  • Ability to work cross-functionally with engineering, analytics, and business stakeholders
  • Strong problem-solving and communication skills
  • Ability to pass background checks
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Schenectady, NY
130 Employees
Year Founded: 2009

What We Do

No matter the complexity of the application, we have the skills and the tools to build it. Jahnel Group brings well over a decade of web development experience with a great eye for design and an impressive set of technical skills. We work hard to stay on the cutting edge of our industry and are absolutely obsessed with making our customers happy. We've seen exponential growth in the past few years. So much so that we have appeared on the Inc. 5000 list for three consecutive years! We specialize in the design and development of web-based applications, websites, mobile applications and anything digital with extensive experience in the full software development life-cycle. This includes gathering requirements, project management, wire framing, prototyping, development, and quality assurance. We're proud to be a culture-first company. Our dedication to our employees is why we've appeared on the Times Union Top Workplaces and Albany Business Review Best Places to Work for three consecutive years. If you have a complex project you'd like to discuss, please call us at 518-356-0039 or email [email protected], we'd love to hear from you!

Similar Jobs

CVS Health Logo CVS Health

Data Engineer

Fitness • Healthtech • Retail • Pharmaceutical
In-Office or Remote
15 Locations
119959 Employees
79K-159K Annually

DaCodes. Logo DaCodes.

Data Engineer

Information Technology • Software
Remote
6 Locations
220 Employees

G2i Logo G2i

Data Engineer

HR Tech • Other • Professional Services
Remote
11 Locations
201 Employees
120K-120K Annually

Blue Orange Digital Logo Blue Orange Digital

Data Engineer

Artificial Intelligence • Machine Learning • Database
In-Office or Remote
7 Locations
75 Employees
89K-89K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account