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Flexible Databricks Data Engineer Jobs in West Virginia

Forhyre

Data Engineer

Charleston, WV

$106K - $127K/yr

Databricks Nice to have: Informatica/ETL. Responsibilities * Design and develop ETL processes based ... Proven working experience as a data engineer * Bachelor degree or equivalent in Computer Science

GDIT

Lead Data Engineer

WV · On-site +1

$103K - $123K/yr

No Lead Data Engineer Seize your opportunity to make a personal impact supporting the Case ... Databricks Certified Data Professional * AWS Certified Data Analytics - Specialty * AWS Certified ...

GDIT

Senior Data Engineer

WV · On-site +1

$95K - $129K/yr

No Senior Data Engineer Seize your opportunity to make a personal impact supporting the Case ... Databricks Certified Data Professional * AWS Certified Data Analytics - Specialty * AWS Certified ...

Insomniac Design

Senior Data Engineer

Charleston, WV · On-site

$115K - $150K/yr

Apache Spark, Kafka, Airflow, dbt, Snowflake, Databricks * Expertise in data modeling. * Strong ... Data Engineer). * Experience with ML pipelines (e.g., feature stores, model deployment)

Dscout

AI Data Engineer

Charleston, WV · On-site

$106K - $127K/yr

At Dscout, we're building the most flexible and powerful UX research platform on the market ... As an AI Data Engineer you will be at the intersection of ML systems and data engineering, working ...

Coalition, Inc.

Data Engineer, Security

WV · On-site +1

$163K/yr

About the role We are hiring a Data Engineer to build our data platform across our Cyber Security ... Flexible PTO policy * Annual home office stipend and WeWork access * Mental & physical health ...

GDIT

Analytics Engineer

WV · On-site +1

$127K - $172K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Modeling, GitLab CI/CD ... Develop and manage analytics-ready data models and workflows (e.g., in Databricks or similar ...

Insperity Services, L.P.

Data Quality Engineer

Kingwood, WV · On-site

$90 - $120/hr

We are seeking a Data Quality Engineer to join our teamSummaryThis position is responsible for ... Hadoop, Snowflake, Redshift, Tableau, PowerBI, Databricks, etc.Strong consensus building skills and ...

New

GDIT

Business Data Analyst

WV · On-site +1

Skills: Data Engineering, Data Requirements, Data Warehousing (DW), Relational Data Modeling ... Experience with cloud-based data platforms (e.g., Snowflake, Databricks, or AWS S3/Redshift ...

CFGI

Data & Analytics - Consultant

Charleston, WV

Experience working with relational databases, cloud data platforms, data engineering, data modeling, or solution architecture technologies such as Snowflake, Databricks, Azure, AWS, or similar ...

Kunai

Senior Cloud Data Engineer

Charleston, WV

$98K - $133K/yr

Google Professional Cloud Architect or Cloud Data Engineer Our success over the past 20 years is ... and flexible work arrangements, all designed to help them thrive. As we continue to expand, we ...

GDIT

Data Analysis Manager

WV · On-site +1

BI Full 6C (T4) Job Family: Data Science and Data Engineering Job Qualifications: Skills ... Experience with Databricks. * Applied experience with statistical analysis and modeling in policy ...

The Nielsen Company

Engineering & Technical Stack * Expert-level Python and SQL; strong PySpark for big data work in cloud environments (AWS preferred) * Experience with Databricks for large-scale data processing and ML ...

CFGI

Data & Analytics - Manager

Charleston, WV

Experience working with relational databases, cloud data platforms, data engineering, data modeling, or solution architecture technologies such as Snowflake, Databricks, Azure, AWS, or similar ...

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All JobsDatabricks Data Engineer JobsFlexible Databricks Data Engineer JobsFlexible Databricks Data Engineer Jobs in West Virginia

Flexible Databricks Data Engineer information

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

What are the most commonly searched types of Databricks Data Engineer jobs in West Virginia?

The most popular types of Databricks Data Engineer jobs in West Virginia are:

What cities in West Virginia are hiring for Flexible Databricks Data Engineer jobs?

Cities in West Virginia with the most Flexible Databricks Data Engineer job openings:

Flexible Databricks Data Engineer jobs near you

Data Engineer

Forhyre

Charleston, WV

$106K - $127K/yr

Full-time

Re-posted 3 days ago

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal