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Trainee Databricks Data Engineer Jobs in Alabama

Senior Data Engineer

Birmingham, AL

$99K - $135K/yr

Waverly Advisors is building a modern data platform on Databricks. It brings together custodian ... As Senior Data Engineer, you will help design how data arrives, how it is validated, how it is ...

Posted today

Senior Cloud Data Engineer

Redstone Arsenal, AL · On-site

$57 - $76/hr

Implement automated data workflows using Azure Data Factory, Databricks, or similar platforms ... Mentor junior engineers and promote best practices in cloud architecture and DevSecOps.

Data Engineer, Senior

Huntsville, AL · On-site

$77K - $176K/yr

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and ... ApacheNiFi,AirFlow, Databricks, Snowflake, Redshift, orBigQuery * Experience with federal ...

Senior Data Engineer

Huntsville, AL · On-site

$77K - $176K/yr

R0246770 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine ... Databricks, Snowflake, Redshift, or BigQuery * Experience with federal information system policies ...

Data Engineer, Senior

Huntsville, AL · On-site

$77K - $176K/yr

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and ... ApacheNiFi,AirFlow, Databricks, Snowflake, Redshift, orBigQuery * Experience with federal ...

Lead customer engagements to design, build, and optimize Databricks-based architectures for advanced analytics, data engineering, and machine learning workloads. * Develop scalable ETL/ELT pipelines ...

Showing results 21-40

Trainee Databricks Data Engineer information

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

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

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

What are popular job titles related to Trainee Databricks Data Engineer jobs in Alabama?

For Trainee Databricks Data Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Trainee Databricks Data Engineer jobs in Alabama look for?

The top searched job categories for Trainee Databricks Data Engineer jobs in Alabama are:

What cities in Alabama are hiring for Trainee Databricks Data Engineer jobs?

Cities in Alabama with the most Trainee Databricks Data Engineer job openings:

$107K - $128K/yr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


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Job description

SUMMARY:

Working within the Finance Data Team, the Data Engineer develops modern data pipelines inside of cloud-based data platforms to provide financial business intelligence and enable data-driven decision-making. The role partners closely with Finance leadership, Accounting, FP&A, Treasury, Tax, IT, and business stakeholders to deliver high-quality data solutions that improve reporting efficiency, strengthen controls, and support strategic initiatives. As a member of the Finance Data Team, the data engineer serves as a critical support for the bridge between Finance and Technology, ensuring that financial data is accurate, accessible, and trusted across the organization.

This role requires a strong background in database design, with the primary focus on designing, developing, and maintaining ETL pipelines within cloud-based data platforms. This role reports to the Business Intelligence Manager inside of Finance and requires collaboration with both finance and IT teams to gather requirements and deliver solutions. A strong candidate will have a passion for data, analytical skills and Finance knowledge. This, coupled with the ability to leverage deep technical expertise, will allow for the efficient creation of accurate and actionable data sets.

JOB DUTIES

Designs, builds, and maintains scalable data pipelines and ETL processes to support financial reporting, operational analysis, and business intelligence needs.

Designs and manages data security frameworks, including role-level security (RLS) and permissions across Finance's Power BI workspaces, ensuring appropriate access controls aligned with Finance data governance requirements.

Develops, and implements sematic layers for consumption in PowerBI dashboards and visualizations.

Maintains data models optimized for finance use cases.

Develops processes to monitor data integrity including reconciliation, and exception reporting.

Collaborate with software developers and data scientists to support advanced analytics and AI initiatives.

Ensures alignment of team objectives with business goals, coordinating with stakeholders in finance, accounting, and other departments.

Utilize visualization techniques and BI Tools (Power BI & Qlik) to present findings in a clear, actionable format.

Defines project scope, deliverables and timelines, ensuring on-time, high quality products.

Continuously monitors emerging technologies and industry trends, ensuring the preservation of a competitive advantage while promoting the enhancement of organizational capabilities.

Performs other duties as assigned.

EDUCATION & EXPERIENCE

Requires a bachelor's degree in Computer Science, Information Systems, Data Engineering, Finance, Accounting or related field.

At least five (5) years of experience in data engineering or related technical roles.

KNOWLEDGE, SKILLS, ABILITIES

Strong SQL development and database design experience.

Experience building ETL pipelines using modern data integration tools.

Proficiency in Python, PySpark, Databricks or similar data engineering technologies.

Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.

Strong knowledge of data engineering principles, including experience with data warehousing, and big data technologies.

Experience working with ERP and financial systems such as SAP, Oracle, Workday, or similar platforms.

Strong analytical and problem-solving skills.

Communication, presentation, and interpersonal skills, with the ability to convey complex concepts to diverse audiences.

Proven track record of successful project management, including the ability to prioritize tasks, manage deadlines, and ensure the delivery of high-quality solutions.

Industry-specific domain knowledge in Finance or Accounting, with an understanding of related processes and terminology is preferred.

Experience with data visualization tools (Qlik, PowerBI, etc.) preferred.

LICENSES & CERTIFICATIONS: None Required.

SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility

BUDGET RESPONSIBILITY: No

COMPANY INFORMATION:

Motion offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.

Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!

GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.


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