Position: Data Engineer

Location: Omaha, NE

Company Overview: Apex Informatics is at the forefront of IT staffing and consulting, empowering businesses with innovative IT solutions and providing talented professionals with rewarding career opportunities. We are currently on the lookout for skilled Data Engineers to join our team. This role is pivotal in building and optimizing our data architecture, as well as optimizing data flow and collection to meet key business objectives. We are keen on candidates who are meticulous, analytical, and proficient in large-scale data processing systems.

Job Description: As a Data Engineer at Apex Informatics, you will play a crucial role in enhancing our data-driven decision-making process. Your primary focus will be on choosing optimal solutions to use for data-related technical challenges, maintaining, implementing, and monitoring them. You will also be responsible for ensuring architectural consistency and data quality across various data engineering initiatives.ns. The ideal candidate will have a strong understanding of Java ecosystems, with the ability to design, build, and maintain efficient, reusable, and reliable Java code.

Responsibilities:

• Develop, construct, test, and maintain architectures, such as large-scale data processing systems and databases.
• Ensure data architecture will support the requirements of business initiatives.
• Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to optimize or improve existing systems and build new ones.
• Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
• Research opportunities for data acquisition and new uses for existing data.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer, Software Developer, or similar role in data management.
• Expertise in SQL database design and multiple programming languages such as Java, Python, or Scala.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Familiarity with cloud services (AWS, Azure, or Google Cloud) and machine learning methodologies.
• Strong organizational and analytical skills.

Benefits:

• Competitive salary and benefits package.
• Opportunity for professional growth and development.
• Supportive work environment.
• H1B visa sponsorship for eligible candidates.

How to Apply: Interested candidates are encouraged to submit their resume and a cover letter detailing their experience and why they would be a perfect fit for this position.