Human Resources Specialist

BayOne Solutions; Pleasanton (CA); Remote; USD 80,000 - 100,000; Full time

Job summary

A leading company in IT services is searching for a skilled Data Engineer to join their dynamic team. This role involves building scalable data pipelines, optimizing data platforms, and ensuring data accessibility for analytics. The ideal candidate will have extensive experience with cloud data technologies and a passion for clean data design. Strong communication skills and the ability to work in a fast-paced environment are essential.

Qualifications

• 3+ years of experience in data engineering or analytics engineering.
• Hands-on with big data tools and cloud platforms.
• Excellent communication and teamwork abilities.

Responsibilities

• Design, develop, and maintain data pipelines.
• Collaborate with data scientists and business teams.
• Work on data lakehouse architectures.

Skills

Data Engineering

Cloud Data Platforms

SQL

PySpark

Data Governance

Communication

Tools

Azure

Databricks

SQL Server

Data Factory

Job description

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This range is provided by BayOne Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80,000.00/yr - $100,000.00/yr

Direct message the job poster from BayOne Solutions

MBA Gold Medalist || Open for what's next

Location: Remote

Employment type: Full Time with BayOne

We’re looking for a skilled and motivated Data Engineer to join our growing team and help us build scalable data pipelines, optimize data platforms, and enable real-time analytics.

What You'll Do

• Design, develop, and maintain robust data pipelines using tools like Databricks, PySpark, SQL, Fabric, and Azure Data Factory
• Collaborate with data scientists, analysts, and business teams to ensure data is accessible, clean, and actionable
• Work on modern data lakehouse architectures and contribute to data governance and quality frameworks

What We’re Looking For

• 3+ years experience in data engineering or analytics engineering
• Hands-on with cloud data platforms and large-scale data processing
• Strong problem-solving mindset and a passion for clean, efficient data design

Job Description:

• Min 3 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc.
• Azure experience is preferred over other cloud platforms.
• 5 years of proven experience with SQL, schema design and dimensional data modelling Solid knowledge of data warehouse best practices, development standards and methodologies Experience with ETL/ELT tools like ADF, Informatica, Talend etc., and data warehousing technologies like Azure Synapse, Microsoft Fabric, Azure SQL, Amazon redshift, Snowflake, Google Big Query etc.
• Strong experience with big data tools (Databricks, Spark etc..) and programming skills in PySpark and Spark SQL.
• Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment.
• Excellent communication and teamwork abilities.
• SAP ECC /S/4 and Hana knowledge.
• Intermediate knowledge on Power BI Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes

BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Human Resources

• Industries

  IT Services and IT Consulting

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