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USD 60 / Contract
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Data Engineer Position Purpose: Implements simple to complex data ingestion and pipeline processes on Google Cloud Platform using industry-standard best practices. Designs, develops, configures, tests, debugs, and documents these processes based on business requirements and technical architecture specifications. Supports and troubleshoots existing ingestion and pipeline processes and data.Responsibilities:Design and implement Data ingestion and pipeline workflows as per business needs and tech
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$60k - $130k/year
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Data Engineer Remote If you share our values, you should have: At least 9 years' experience in software engineering At least 2 years' experience with Go Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach Experience with stream processing using Apache Kafka A level of comfort with Unit Testing and Test-Driven Development methodologies Familiarity with creating and maintaining containerized application deploymen
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Job Title: Data Engineer Duration: 6+ months Location: Dallas, TX (Hybrid 2 days onsite) LOCAL CANDIDATES ONLY Job Description: We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for designing, developing, and implementing programs using their skillset in Pyspark, Azure Databricks, Azure Data Factory, Python, Structured Streaming, and Azure. The candidate should have a solid understanding of Data Lake and Data Warehouse concepts, as well as exp
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($) :
USD 95 / Hourly / C2
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Title: Databricks & Airflow - Lead Data Engineer Client: Accenture Merck Location: Location Remote, however if someone is nearby to Rahway, NJ that candidate will have to go onsite. Duration:12+ Months (With Possible Extension) Job Description: Please share Strong & Committed Candidates only, they will have stringent screening to increase chance of placement. Must-Have: Databricks expert need an experienced resource who can provide solutions and give recommendations to client.
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($) :
USD 80 / Hourly / C2
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Position: Senior AWS Data Engineer Location: Remote Long Term Must Skill: - Work with development teams and other project leaders/stakeholders to provide technical solutions that enable business capabilities - Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze large disparate datasets - Build robust data pipelines on the Cloud using AWS Glue, Aurora Postgres, EKS, Redshift, PySpark, Lambda, and Snowflake. - Build Rest-based Data API
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($) :
$60k - $130k/year
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POSITION Sr. Data Engineer LOCATION Remote DURATION 3-6 month contract to hire INTERVIEW TYPE Video VISA RESTRICTIONS None REQUIRED SKILLS Must be very senior/architect level Solid understanding of Data Modeling (can build without ETL tools) Kimball methodology SQL savvy DBT Devops knowledge Experience working with business stakeholders to understand requirements/understand business problem
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Role: Data Engineer
Duration: 6 Months + possibility of extensions
Location: Kansas City, MO (Prefer local candidates)
The data is made up of Race, Ethnicity, Gender, sexual orientation, etc., that they are required to capture and report on.
Enrollment Solution-Transform third-party enrollment Health Equity data into Snowflake and enable PowerApps/PowerBI for reporting.
Non-Standard File Solution-Collaborate with the analytics team to standardize the Employee Reporting file format,
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($) :
$60k - $130k/year
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Senior Snowflake Azure Data Engineer Location : NYC NY Duration: 6 months Position type: W2 contract Mandatory skillsets: Snowflake, Azure Data bricks, SQL, Snowflake, Python Summary : We are looking for Snowflake developer with a financial background typically who plays a crucial role in leveraging Snowflake, a cloud-based data warehousing platform, to manage and analyze financial data. Primary Responsibilities: Strong understanding or Snowflake on Azure Architecture, design, implementati
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Job Title: Data Engineer Duration: 6+ months Location: Dallas, TX (Hybrid 2 days onsite) LOCAL CANDIDATES ONLY Job Description: We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for designing, developing, and implementing programs using their skillset in Pyspark, Azure Databricks, Azure Data Factory, Python, Structured Streaming, and Azure. The candidate should have a solid understanding of Data Lake and Data Warehouse concepts, as well as exp
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($) :
BASED ON EXPERIENCE
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Job Title : Lead Data Engineer / Data Modeler Location : Tampa, FL Onsite Hire Type: Both FTE/Contract Basic Qualifications:" Minimum of 10+ years demonstrated expertise in logical and physical data modeling (ER)" Minimum of 7+ years demonstrated proficiency using Erwin Data Modeling tool or comparable" Minimum of 10+ years of experience in developing and deploying to operational environments" Minimum of 10+ years experience working experience
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