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Data engineer Jobs in Newark, NJ

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Data engineer • newark nj

Last updated: 11 hours ago

Data Engineer

Recutify Inc.New York City, NY, United States
Full-time
Quick Apply

Role : Data Engineer Location : New York (100% onsite) (need local to NY) Show more

Data Engineer

MedReviewNew York, NY, US
Full-time
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MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure.Your mission is to evolve our current environment i...Show more

Data Engineer

Motion Recruitmentnew york, New York, United States
Full-time

We are seeking a Data Engineer for a Full-Time role based in New York City.You will join Aligned Marketplace, a mission-driven B2B2C health tech company that transforms how self-insured employers c...Show more

Lead Data Engineer

Red Clover HREast Rutherford, New Jersey, US
Full-time
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APC is a dynamic, growing international delivery and technology solutions provider.Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.Our extensive, r...Show more

Data Engineer - Palantir

Inizio Partners CorpJersey City, New Jersey, United States
Full-time
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Job Description: Palantir Data Engineer.We are seeking a seasoned Data Engineer with 3-7 years of experience in data engineering, cloud platforms and distributed systems, along with.The ideal candi...Show more

Data Engineer

Blue Orange DigitalNew York, New York, .US
Full-time
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Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes.We partner with organizations across industries to design and deploy scalable...Show more

Data Center Engineer

Next Step Systems – Recruiters for Information Technology Jobs Top IT Recruiting FirmSecaucus, NJ, USA
Full-time

Data Center Engineer, Secaucus, NJ.We are seeking a talented and self-motivated Data Center Engineer to join a growing engineering team.The successful Data Center Engineer for this position will be...Show more

Senior Data Engineer

FusemachinesNew York, NY, US
Full-time
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About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI.Leveraging proprietary AI Studio and AI Engines, the com...Show more

Data Engineer

TSRNew York, New York
Remote
Temporary

Our client is hiring a Data Engineer on a contract basis.Bachelor’s Degree in Computer Science or a related discipline.Strong proficiency in Python with an emphasis in building data pipelines.Abili...Show more

Lead Data Engineer

TSXUS TSX US Inc.Liberty Street,New York
Full-time

Venture outside the ordinary - TMX Careers.The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations ...Show more

Data Engineer

FocusKPI Inc.New York, NY, US
Full-time
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FocusKPI is looking for a Data Engineer to join our client's growing team and spearhead analyses, providing meaningful insights into their users and product.New York EST hours Duration: 5 months/ 4...Show more

Lead Data Engineer

Centraprise LLCJersey City, NJ, United States
Full-time
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Hi, Position: Lead Data Engineer Experience Required: 12 years+ Location: Jersey City, NJ | Onsite Show more

Data Engineer

SlangNew York, NY, US
Full-time

Slang AI is redefining customer engagement through conversational AI, making every interaction seamless and efficient.Our mission is to transform the restaurant industry by providing the ultimate v...Show more

Data Engineer

eTeamNew York, NY
Full-time

At Client, we advise, originate, trade, manage and distribute capital for governments, institutions and individuals, and always do so with a standard of excellence.We are a leading global financial...Show more

Data Engineer

Seven Seven SoftwaresNewark, NJ, US
Full-time

Key Job Responsibilities:-Analyze data needs and objectives within the broader journey.Source, analyze and organize raw data, prepare data for transformation and consumption.Develop analytical tool...Show more

Sr Data Engineer

Disney Entertainment and ESPN Product & TechnologyNew York, New York, United States
Full-time

We are seeking a passionate Senior Software Engineer to join the Product Performance Team within the Data Organization at Disney Entertainment and ESPN Product & Technology.Our team is vital, ownin...Show more

Data Engineer ID50062

AgileEngineNew York, NY, us
Full-time
Quick Apply

Fortune 500 brands and trailblazing startups across 17+ industries.We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Bes...Show more

Data Engineer

Glint Tech Solutions LLCJersey City, New Jersey, United States
Full-time
Quick Apply

Join a forward-thinking and innovative organization that values growth, collaboration, and cutting-edge technology.We're looking for a skilled Data Engineer to build scalable data solutions that po...Show more

Data Engineer

Book of the MonthNew York, NY, US
Full-time
Quick Apply

The Engineering team at Book of the Month is responsible for developing and maintaining the platform's web and mobile applications.We are looking for a highly organized Data Engineer to facilitate ...Show more

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Data Engineer

Data Engineer

Recutify Inc.New York City, NY, United States
6 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Role : Data Engineer

Location : New York (100% onsite) (need local to NY)

Interview mode : ( 1 Video interview and CI will be in person)

Candidate need to have colab set up ready with Gmail account so they can code on the L1 interview

Must have :

Languages & Scripting: Spark, Python, Java, Scala, Hive, Kafka, SQL

Cloud Platforms: AWS

Data Warehousing & Analytics: Redshift or Snowflake or Big Query

Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks

CI/CD: AWS Code Pipeline, Jenkins, CloudFormation, Docker, Kubernetes

JD :

  • Results-driven Data Engineer with a decade of expertise in Data engineering across cloud platforms with a total of 12 years in IT.
  • Extensive experience utilizing Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Dataprep, and Pub/Sub, for data engineering solutions.
  • Proficient in building and managing GCP data pipelines with tools like Cloud Composer and Cloud Dataflow.
  • Proven ability in developing and deploying applications on Google Kubernetes Engine (GKE).
  • Strong background in implementing security and compliance on GCP, ensuring data privacy and regulatory adherence.
  • Track record of optimizing cost and resource usage within GCP environments.
  • Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing.
  • Expertise in architecting scalable, cost-effective solutions on AWS, with proficiency in configuring AWS Lambda for serverless computing.
  • Adept at setting up AWS Kinesis streams to process real-time data, enhancing system responsiveness and data-driven decision-making.
  • Proficient in leveraging AWS DynamoDB to create scalable, low-latency NoSQL databases for dynamic applications.
  • Deep expertise in optimizing and managing Amazon Redshift data warehouses to deliver high-performance analytics and business insights.
  • Experienced in integrating AWS services into CI/CD pipelines, streamlining automation for continuous integration, delivery, and deployment.
  • Skilled in setting up and securing AWS Virtual Private Cloud (VPC) environments.
  • Proficient in managing Azure virtual machines (VMs) for cloud infrastructure operations.
  • Extensive experience managing on-premises data infrastructure, including data warehouses and databases.
  • Familiar with AWS DevOps practices for continuous integration and deployment.
  • Expertise in using Git for version control in DBT projects, ensuring proper tracking and documentation of data model changes.
  • Skilled in performance optimization and tuning of on-premises data systems.
  • Proficient in data migration strategies between on-premises and cloud environments.
  • Strong troubleshooting skills in resolving issues within on-premises data systems.
  • Proven ability to maintain high availability and disaster recovery solutions in on-premises environments.
  • Experienced in implementing CI/CD pipelines using tools like Jenkins and GitLab CI/CD.
  • Adept in automated testing processes, including unit, integration, and regression testing.
  • Skilled in gathering and analyzing project requirements to ensure alignment with business goals.
  • Experienced in Agile project management, contributing to successful outcomes through data-driven analytics and collaborative teamwork