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Location - United States (Remote)
Compensation - $180,000 to $210,000 Base Salary

Our client is a fast-growing consultancy firm within the federal sector. Their advanced data analytics and AI/ML insights help to provide more agile, innovative, and strategic solutions empowering their clients to do more. They are experts at providing expertise within big data, advanced analytics and AI/ML initiatives.

Clearance Requirement:
Please note a Public Trust Clearance/ability to maintain Public Trust Clearance is required for this role.

Responsibilities:

  • Be able to execute high-level strategy for AI/ML adoption

  • Collaborate with clients to mature the use of AI/ML within organizations

  • Apply subject matter expertise within AI/ML

  • Work internally and externally to build and develop relationships

  • Be curious and ask the right questions


Technical Qualifications:

  • Master’s degree (or above) in a related field

  • 10+ years' experience working in Data Science or relevant field

  • Experience working in data mining, statistics, and machine learning

  • Strong experience in programming languages (e.g. Python, R, SQL, SAS, SPSS)

  • Strong problem-solving skills and aptitude for learning

  • Confident communicating technical concepts to stakeholders
     

Data Engineer

 

We are currently recruiting a Data Engineer to join an exciting seed level startup. Our client is a data analytics company that give companies the power to solve complex business problems through their data. They are looking for someone to come in help build out data pipelines, data processes and data solutions to help push the platform forward. Ideally looking for someone with strong experience with AWS, Python, and SQL.

 

You as the ideal candidate will be responsible for:

  • Building and designing scalable data pipelines
  • Writing clean code in Python for data platform
  • Delivering accurate insights to customers
  • Working with client data to integrate and cleanse

 

You as the ideal candidate will require:

  • A minimum of 2 years working in Data Engineering
  • AWS experience
  • Python programming
  • Experience with PostgreSQL

 

This is an excellent opportunity for a strong and ambitious Data Engineer to enjoy a rapidly growing StartUp with a very exciting future!

 

If you are interested, please apply or send a resume to kieran@alldus.com

Senior Data Engineer

We are currently recruiting a Senior Data Engineer to join an exciting seed level startup. Our client are looking to reimagine B2C communications. They are looking to move away from email, phone calls, and SMS to make the interactions more engaging!

They are currently looking for a Senior Data Engineer to come in and help build out and own internal pipelines and data products.

You as the ideal candidate will be responsible for:
  • Building and designing scalable data pipelines
  • Writing clean code in Python for data platform
  • Designing reusable components for ingesting and cleansing data
  • Building analytics tools and insights

You as the ideal candidate will require:
  • Experience in data infrastructure, engineering, and warehousing
  • Experience working in an AWS environment
  • Python programming

This is an excellent opportunity for a strong and ambitious Data Engineer to enjoy a rapidly growing StartUp with a very exciting future!

If you are interested, please apply or send a resume to kieran@alldus.com

Data Engineer in the HealthTech sector

A role for a Data Engineer with a HealthTech company in New York city, which a couple of years ago embarked on a journey to bring data to the forefront of its decision making and now boasts a wealth of experience and thought leadership in the field. A highly talented and experienced leadership team that has come together to utilize AI to have a positive impact on society.

The Data Engineer role is diverse and needs a versatile candidate who can work on a variety of different projects, taking stakeholder requirements and implementing data management strategies across the business. Seen as one of the most important functions within the organization, the ability to take these requirement and shape solutions that add value is critical.

 

This role is going to be 100% remote.

 

Responsibilities:

  • Design & build endto-end data pipelines for ingestion, distribution, & transformation using Python.
  • Develop & test in house architectures using programing tools
  • Contribute and attend program events that the client hosts
  • Helps maintain security within data
  • Implement and design data procedures such as: modeling, staging, provisioning, etc.

Qualifications:

  • 3+ years of working experience with cloud, AWS, and processing data
  • BS or MS in biostatistics or a similar field
  • Proficient in PySpark and/or SQL

Bonus Qualifications:

  • Experience using workflow programs
  • Hands on experience in the healthcare industry

Engineering Manager, Data


We are currently recruiting for an Engineering Manager to join an exciting series B Startup that helps businesses make better decisions based on data insights. Our client out using data to change the way professionals understand behaviours. Working with a lot of raw data, they transform this for partners so they can ultimately make better decisions.

 

They are looking for someone to come in and manage a team of 7 engineers. The teams main focus is to provide clients with data driven insights. You will work alongside engineering, product, data science, and business analysis, using data to answer business questions. You will have the opportunity to influence and design data pipelines and implantation details.

 

You as the ideal candidate will be responsible for:

  • Managing a small team of Engineers
  • Working closely with various internal teams on design, roadmap, implementation etc.
  • Coordinating the development of multiple data pipelines across various business units

 

You as the ideal candidate will require:

  • Experience managing a small team
  • Experience implementing data pipelines from scratch
  • Experience with GCP (Google Cloud Platform)
  • Programming experience with Scala
  • Experience with Kubernetes/docker

 

This is a great opportunity for a manager to join a fast growing Startup with exceptional potential.

 

If you feel this is a good fit. Please apply or send an updated resume to kieran@alldus.com

Data Engineer III

We are currently recruiting a Data Engineer III for a global manufacturing company in Utah.

As a Data Engineer III, they will help users and data analysts with different data processes needed to grow and operate the business. They will also make certain that data pipelines are highly effective, organized, and dependable.

Responsibilities:

  • Build secure, workable data processing pipelines and datasets from various structured and unstructured data systems
  • Design and operate data and analytic services
  • Monitor the pipelines and respond to issues efficiently
  • Monitor and resolve issues involving production environments
  • Help users and analysts understand what data is available to them and how to interpret it

Requirements:

  • B.S. in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Mathematics, Operations Research, etc.) or 10+ years of equivalent work experience
  • 7+ years in developing and maintaining data pipelines
  • 7+ years of SQL scripting
  • 7+ years working with data processing languages (SQL, Scala, Python, etc.)
  • 3+ years working in cloud-based data (Azure preferred, AWS, GCP)
  • Experience with Power BI or similar tool(s)
  • Onsite standard work week (full-time face-to-face)

If you are interested, please apply or send a resume to samuel@alldus.com