Software Engineer – Hybrid (Glendale, AZ) - Contract

Overview

JAB Recruitment is actively hiring a Software Engineer

to support one of our prestigious international energy clients at their

Glendale, AZ

location. This is an exciting opportunity to work with a world-class team in a fast-paced, professional environment.

We are seeking a highly skilled and motivated

Software Engineer

specializing in

Data Engineering

. This critical role will focus on designing, developing, and optimizing our

data infrastructure

within the

Azure cloud environment

.

The ideal candidate possesses a deep understanding of

data engineering principles

and extensive hands-on experience with

Azure Data Lake

,

Azure Data Factory

,

Databricks

, and

SAP Business Objects

. You will play a key role in

building and maintaining robust data pipelines

, ensuring

data quality

, and enabling

data-driven insights

for the business.

PLEASE NOTE

- This is a

contract position

- estimated

12 months

- This role is limited to

U.S. citizens

in accordance with client specifications

- This position requires at least

three days of in-person attendance

per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership.

Responsibilities

- Design, develop, and optimize scalable and efficient data processing pipelines and architectures within

Azure Data Lake

and

Databricks

, leveraging best practices for performance and maintainability.

- Implement and manage complex

ETL (Extract, Transform, Load)

processes to seamlessly integrate data from diverse sources (e.g., databases, APIs, streaming platforms) into

Azure Data Lake

, ensuring

data quality and consistency

.

- Develop and maintain interactive

dashboards and reports

using

SAP Business Objects

and

Power BI

, translating complex data into actionable business insights. Focus on performance optimization and data accuracy.

- Leverage

Azure Data Factory

for

data orchestration

,

workflow automation

, and

scheduling

, ensuring reliable and timely

data delivery

.

- Implement and maintain

Azure Security & Governance

policies, including access control, data encryption, and compliance frameworks, to ensure data protection and adherence to industry best practices.

- Optimize data storage and retrieval

mechanisms within Azure, including

performance tuning

of

Databricks clusters

and

Azure SQL databases

, to improve

query performance

and

scalability

.

- Collaborate effectively with cross-functional teams (e.g., business analysts, data scientists, product managers) to understand business requirements, translate them into technical solutions, and communicate technical concepts clearly.

- Implement data quality checks and validation rules throughout the data pipeline to ensure data accuracy, completeness, and consistency.

- Monitor, troubleshoot, and enhance existing data solutions, proactively identifying and resolving performance bottlenecks and data quality issues.

- Create and maintain

comprehensive technical documentation, including design specifications, data flow diagrams, and operational procedures, to facilitate knowledge sharing and team collaboration.

Minimum Requirements

- Bachelor’s degree in Computer Science, Engineering, or a related field and 2-5 years of experience or 5+ years of relevant work experience.

Required Knowledge, Skills, and Abilities

- 4+ years

of hands-on experience in

data engineering

,

data warehousing

, and

cloud-based data platforms

.

- Deep expertise in

Azure Data Lake

,

Azure Data Factory

,

Azure Security & Governance

,

Databricks

, and

SAP Business Objects

.

- Strong proficiency in

SQL

, including complex query writing,

query optimization

, and

performance tuning

.

- Proven experience in developing and maintaining

Power BI dashboards

and reports.

- Hands-on experience with

Azure services

such as

Azure Synapse Analytics

,

Azure SQL Database

, and

Azure Blob Storage

.

- Solid understanding of

data modeling concepts

,

ETL processes

, and

big data frameworks

(e.g.,

Spark

).

- Experience in optimizing and managing large-scale datasets in cloud environments.

- Experience developing and maintaining ETL packages using SSIS and reports using SSRS.

- Strong analytical and problem-solving skills with a keen attention to detail.

- Excellent communication and collaboration skills.

- Master's degree in a relevant field

- Familiarity with machine learning models and data science concepts.

- Understanding of DevOps practices and CI/CD pipelines for data applications.

- Experience with data governance tools and frameworks.

- Experience with other cloud platforms (e.g., AWS, GCP).

JAB Recruitment

is an

equal opportunity employer

. Qualified applicants are considered for positions without regard to race, color, religion, sex, national origin, age, citizenship status, marital status, medical condition, physical or mental disability or any other legally protected status. EOE/M/F/D/V

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