Design, develop, and enhance AWS data environments by building scalable Data Lake solutions and complex data pipelines, utilizing AWS and data engineering practices.
Company Description
Webtellect is an established software consulting firm. We are equivalent to the finest "custom home builders" as it applies to software. We build software for those companies who have funding but not the resources or for those companies who have the resources but not bandwidth. We analyze, design, develop, test, deploy, maintain, and learn from our engagements to improve for the next. We all share a passion and joy for software excellence. As such, Webtellect consultants are highly coveted.
Job Description
To design, development, and enhancement of our AWS data environment.
Qualifications
- Experience setting up AWS Data Platform – AWS CloudFormation, DevelopmentEndPoints, AWS Glue, EMR and Jupyter/Sagemaker Notebooks, Redshift, S3, and EC2 instances.
- Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors.
- Must have a background in data engineering – Data Warehouse Development experience would be perfect
- Must have strong skills in SQL, Python, PySpark, and AWS
- Experience in designing, developing, optimizing and troubleshooting complex Data Pipelines using Spark cluster
- Ability to lead proofs-of-concepts and then effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
- Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to solve complex business and technical problems.
Additional Information
Notes:
- 6 month contract.
- ** No 3rd parties. **
- ** No Visas allowed **
Top Skills
Aws Cloudformation
Aws Glue
Ec2
Emr
Jupyter
Pyspark
Python
Redshift
S3
Sagemaker
SQL
Webtellect, LLC Kirkland, Washington, USA Office
P.O. BOX 2926, Kirkland, WA, United States, 98083-2926
Similar Jobs
.png)
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
The Data Scientist II will develop algorithms, conduct research on healthcare economics, and collaborate with teams to enhance data systems.
Top Skills:
PythonSQL
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The People Analytics Consultant will deliver actionable insights to inform strategic talent decisions. Responsibilities include leading complex analytics projects, building strong relationships with HR stakeholders, and driving the adoption of people analytics solutions. The role emphasizes data storytelling and translating insights into actionable recommendations.
Fintech • Mobile • Social Impact • Financial Services
As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.
Top Skills:
JupyterlabMachine LearningMatplotlibPandasPythonSklearnSQLStatsmodels
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
