Data Scientist 

Location: Woodinville, WA

Details: Hybrid 

Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.   

We are looking for a versatile AI/ML Engineer who can lead, sell, design, and implement modern architecture for a diverse set of customers and industries. The ideal candidate would have deep experience in designing high-value advanced analytics solutions utilizing popular analytical frameworks running on Azure, GCP, and AWS. This position will be responsible for leading customer conversations, creating and presenting project architecture, and leading delivery.

Primary responsibilities include mentoring and leading other consultants, leading pre-sales workshops with finance and technology executives to uncover innovative ways to apply advanced analytics techniques to solve business problems in new ways. The role can be hands-on when necessary but should have Direct delivery experience to recommend technologies, solutions, and help troubleshoot.    

Responsibilities: 

• Drive growth through business development, resourcing, and quality delivery. 

• Monitor business impact and value generation of analytics projects. 

• Help create go-to-market strategies around advanced AI/ML Services and hardware. 

• This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals. 

• Create proposals and SOWs. 

• Work closely with sales and other practice leaders to recommend strategies to grow our data science services. 

• Manage full sales cycles, end-to-end, for high potential clients. 

• Evaluate business impact and priority initiatives for our portfolio of managed analytics customers.  

• Talent Leadership and Product Ownership. 

• Help with planning and staffing for data science projects. 

• Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations. 

• Train the data science team on best practices and new technology initiatives.  

• Anticipate the impact of new technologies and frameworks and help create compelling data science offerings to our clients. 

Skills you bring with you: 

• Knowledge of how to use data science/AI/ML techniques in operations to impact corporate financials.  

• Working knowledge of DevOps process (CI/CD) applied to data science and ML ops. 

Qualifications: 

• Bachelor’s or Master’s Degree in Advanced Math, Data Science, or Computer Science.  

• 5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies including but not limited to: 

• Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL.
  
  
• Azure ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake
  
  
• ELT/ELT/Pipeline Design, Data Modeling, Spark, Airflow/DBT and API Integration Patterns

Nice to have: 

• LLM’s, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns 

The base salary range for this full-time position in the US is $130,000 - $140,000 annually + bonuses + benefits.  Redapt salary ranges are determined by role, level, and location.  The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.  Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience.  Please note that the compensation details listed in the US role postings reflect the base salary only, and do not include bonuses or benefits. 

Equal Employment Opportunity: 

Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need. 

#LI-TS1

Data Engineer

Location: Woodinville, WA

Details: Able to come 4 days onsite 

Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.   

We are looking for an experienced Data Engineer who can design and implement modern architectures for a diverse set of customers and industries.  This is a mid-level position and requires a candidate with deep experience in designing and building data solutions using technologies implemented on AWS, Azure, and on-premises.  The Data Engineer will own all aspects of solution development.  The ideal candidate will have deep experience in Azure Synapse, Azure Data Factory and data processing engines.  The position is also responsible for ensuring that the solution is tested and documented to ensure a successful hand-off to clients. 

Responsibilities: 

• Interfacing directly with clients to solve broad business goals with database solutions. 

• You will be responsible for gathering requirements, designing solutions, along with overseeing the development and execution of projects.  

• This role will be directly involved in the business development process; specifically delivering customer demos to show how data can drive business goals.  

• Be able to build pilot solutions and proof of concept with minimal direction. 

• Provide support to project manager through developing tasks, estimates, and dependencies to meet expectations.  

Skills you bring with you: 

• Expert knowledge of Azure, Data Factory, and Synapse Pipelines. 
  
  
• Expert knowledge of AWS, AWS Glue, Redshift, and Athena pipelines.
  
  
• Rest API’s (building/integration, file-based integrations, change data capture, message ques/event-driven integration.

• Ability to troubleshoot and performance tune complex TSQL queries.  

• Familiarity with source control, DevOps and CI/CD concepts in an AWS DevOps Azure DevOps or Github environment. 

• Ability to create and troubleshoot calculations in DAX and/or MDX. 

• Knowledge of open source and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, and Cosmos DB.
• Spark/Pystak, Delta Lake/Lakehouse concepts, Kafka or EventHub’s

• Proficient in distributed computing principles.  Familiar with key architectures including lambda and kappa architectures. 

• Adept at Transact SQL. Able to create along with understand complex DML queries, views, stored procedures, and functions.  

• Strong understanding of scripting/programming languages including one of the following. 

• R, Python, Scala, C# or PowerShell

• Hands-on experience deploying, configuring common Azure data services along with basic familiarity of Azure portal and ARM templates. 

Qualifications: 

• Bachelor’s degree in Computer Science, Electronics, Information Systems (related field) or equivalent experience.  
  
  
• 5-8+ years of experience with master data management, data quality and data governance concepts. 

• Experience in designing and building reports on SQL Server Reporting Services or Power BI using visualization best practices.  

• Experience with other cloud providers and data services such as AWS and GCP. 

• Experience in ingesting and performing advance analytics on data from multiple sources, including batch analytics, interactive analytics, real-time/streaming analytics.  

• Experience designing dimensional models using Kimball methodology and proficiency with data modeling tools. 

• Experience in designing and building robust ETL pipelines in one or more of the following technologies and tools: SSIS, ADF, Azure Databricks and Snowflake. 

The base salary range for this full-time position in the US is $115,000 - $140,000 annually + bonuses + benefits.  Redapt salary ranges are determined by role, level, and location.  The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.  Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience.  Please note that the compensation details listed in the US role postings reflect the base salary only, and do not include bonuses or benefits.  

Equal Employment Opportunity: 

Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need. 

#LI-TS1