Data Engineer

  • Albany, NY
  • Posted 16 hours ago | Updated 16 hours ago

Overview

On Site
Hybrid
$55 - $60
Contract - Independent
Contract - W2

Skills

Amazon Web Services
Analytics
Apache Hadoop
Apache Hive
Business Intelligence
Cloud Computing
Big Data
Cloudera Impala
Data Architecture
Data Science
Machine Learning (ML)
Microsoft Azure
Workflow
Tableau
SQL
Python
Data Engineering
Data Mining
Data Processing
Data Warehouse
Microsoft Power BI
Analytical Skill

Job Details

Job Title: Data Engineer

Location: Albany but Remote (Prefer candidates from Albany, the candidate need to be available to visit client location on need basis)

Duration: 3 Months (Possibility of extension)

Note: 4 to 6 years of healthcare claim preferred experience is must

Client: McKinsey

Open Position - One position

Job Requisition:

Role Overview

We are seeking a skilled Data Engineer. The ideal candidate will have a strong background in data engineering, analytics, and modern data architecture, with specific expertise in healthcare data processing and claims analytics. This role requires adaptability to a fast-paced Agile environment, excellent problem-solving skills, and the ability to assess and communicate data quality nuances effectively.

Responsibilities

Build and maintain high-quality data pipelines to support analytic solutions

Process and analyze standard healthcare data, including claims, ensuring accuracy and quality

Design and implement modern data architecture patterns, such as medallion or data lakehouse

Partner with business analysts to align technical solutions with business requirements

Requirements

Education: Bachelor s degree in Computer Science, MIS, Engineering, or a related field

Experience:

At least 5 years in data engineering or architecture, with a minimum of 2 years working with healthcare claims data

Demonstrated experience in at least 1-2 Agile projects, showcasing adaptability to changing priorities and evolving requirements

Technical Skills:

Expertise in SQL and data analysis

Proficiency in programming languages such as Python or Scala

Familiarity with cloud computing platforms (e.g., AWS, Azure) and Infrastructure as Code (IaC) tools

Experience with big data tools and frameworks, such as Hadoop, BigQuery, Hive, Impala, or Spark

Knowledge of business intelligence tools like Tableau, Power BI, or Looker

Understanding of modern data architecture patterns, including medallion and data lakehouse

Soft Skills:

Strong problem-solving abilities and adaptability in Agile environments

Excellent communication skills to effectively convey data quality nuances and technical concepts

A strong work ethic and flexibility to meet evolving project demands

Preferred Qualifications

Familiarity with machine learning, data science workflows, and statistical & data-mining techniques

Experience in developing and maintaining data warehouses and big data solutions

Exposure to Linux environments and Big Data development.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Saarthee