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Data Engineer Data Jobs in Delaware (NOW HIRING)

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong expertise in designing and implementing efficient and scalable data pipelines using Apache Spark ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong expertise in designing and implementing efficient and scalable data pipelines using Apache Spark ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer Location: Union Beach, NJ - 07735 and Wilmington, DE - 19803 Job Overview: We are looking for a skilled Data Engineer with a strong background in AWS technologies to join our data team.

Data Engineer

Wilmington, DE

$111.10K - $133.40K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Wilmington, DE · On-site

$125K/yr

Data Engineer Location: Wilmington, DE (Local Profiles) Salary: $125K Annually Primary Skill Set: AWS, Java/Python and Big Data experience. Roles & Responsibility - Acquire and manage data from ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer Location: Wilmington, DE (Local Profiles) Salary : $ 125K Annually, Additional Job Details: Python and Snowflake is required with Experties level. Primary Skill Set : AWS, Java/Python ...

Starburst Developer/ Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

... Data Engineer As a Starburst developer, you will be responsible for leveraging Starburst Enterprise platform to generate comprehensive analytics by integrating and analyzing various data sources like ...

Data Engineer

Wilmington, DE · Hybrid

$111.10K - $133.40K/yr

Data Engineer Location: Wilmington, DE hybrid Client: Innova Description: Python, PySpark, AWS, Databricks around 5 years in total 2-3 years in Python, PySpark, AWS, Databricks 5+ years of ...

Data Engineer

Newark, DE · On-site

$112.30K - $134.90K/yr

Data Engineer Location: Newark, DE and Pennington, NJ (We can only consider candidates who are able to attend an onsite interview at any of the specified locations.) - 3x each week onsite We have an ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer Location: McLean, VA, Richmond, VA, Wilmington, DE, and Boston (Need candidate to work onsite from any location, 3 days Hybrid) Java Full Stack (80% Backend and 20% Frontend) Primary ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer We are seeking a highly skilled Data Engineer with 6 to 9 years of experience to join our team as a Business Associate. The ideal candidate will have expertise in Snowflake, SQL, Python ...

Data Engineer USA

Wilmington, DE · Hybrid

$111.10K - $133.40K/yr

Data Engineer Role: Data Engineer Required legal status: Green Card, Green Card-EAD, US Citizen Location: Charlotte, NC (Hybrid work model) Job involves: * Extract, Transform, Load (ETL) operations

AI & Data - Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

AI Data Engineer Location: Wilmington, DE Onsite Duration: 7 Months of Contract Must Have Skills: Ab Initio BRE/Express IT and/or Ab Initio development experience, Good to have: Exposure to AWS ...

AI & Data - Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Job Summary : eTeam is a company seeking a Data Engineer to work on AI and Data projects. The role involves utilizing skills in Ab Initio development and may also involve exposure to AWS services and ...

Position Overview The Bridgeforce Data Solutions team seeks an entrepreneurial mindset for a unique and exciting opportunity to be part of the team executing upon the design and creation of ...

Data Engineer

Wilmington, DE · On-site

$78K - $117K/yr

Position Overview The Bridgeforce Data Solutions team seeks an entrepreneurial mindset for a unique and exciting opportunity to be part of the team executing upon the design and creation of ...

DATA Engineer- W2

Newport, DE · On-site

$111K - $133.30K/yr

Data Engineer Wilmington DE- Nearby candidates (F2F required) Interview: 2 rounds of F2F interview W2 Candidates only- 5 days onsite Visa: USC/GC Video Interview Client: MY RECRUE /JPMC Must have:

Data Engineer (PySpark / AWS)

Wilmington, DE · On-site

$111.10K - $133.40K/yr

Data Engineer (PySpark / AWS) Location: Wilmington, DE - Onsite Type: Contract Job Overview We are seeking a highly skilled Data Engineer with strong expertise in PySpark, ETL pipelines, and AWS ...

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Data Engineer Data information

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Data Engineer Data jobs in Delaware? For Data Engineer Data jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Delaware look for? The top searched job categories for Data Engineer Data jobs in Delaware are:
What cities in Delaware are hiring for Data Engineer Data jobs? Cities in Delaware with the most Data Engineer Data job openings:

$111.10K - $133.40K/yr

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Job description

Job Summary:
We are seeking an experienced Data Engineer to join our team. The ideal candidate will have strong expertise in designing and implementing efficient and scalable data pipelines using Apache Spark with Java, integrating data from diverse sources into data lakes (e.g., S3) and data warehouses (e.g., Redshift). This role offers an exciting opportunity to work on enterprise-level data engineering projects.
Key Responsibilities:
  • Design and develop efficient and scalable data pipelines using Apache Spark with Java, integrating data from diverse sources into data lakes (e.g., S3) and data warehouses (e.g., Redshift).
  • Leverage a range of AWS services for data storage, processing, and analytics, including but not limited to S3, Redshift, Glue, EMR, Lambda, Kinesis, and DynamoDB.
  • Optimize Spark applications and data pipelines for performance, cost-efficiency, and reliability, including tuning Spark configurations and utilizing appropriate AWS resources.
  • Design and implement data models for structured and unstructured data, and contribute to the overall data architecture strategy within an AWS environment.
  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Implement monitoring solutions for data pipelines and infrastructure, and troubleshoot issues to ensure data quality and system stability.
  • Implement data security measures and adhere to data governance policies within the AWS ecosystem.
  • Create and maintain comprehensive documentation for data engineering processes, designs, and deployments.
Required Technical Skills:
  • Strong proficiency in Java, with experience in developing Spark applications.
  • In-depth knowledge and hands-on experience with Apache Spark, including Spark SQL, DataFrames, and RDDs.
  • Extensive experience with AWS services, particularly those related to data engineering (S3, Redshift, Glue, EMR, Kinesis, Lambda).
  • Experience with data warehousing concepts and technologies (e.g., Redshift, Snowflake), and building data lakes on S3.
  • Proficiency in SQL and experience with both relational and NoSQL databases.
  • Strong understanding and practical experience in designing and implementing ETLELT processes.
  • Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
Required Qualifications:
  • 8-10 years of experience in data engineering.
  • Relevant certification in data engineering or related field.
  • Bachelor's degree in Computer Science or related field.
Preferred Qualifications:
  • Experience with PySpark.
  • Strong communication and collaboration skills to work effectively within a team and with various stakeholders.