Data Engineer

Flint Advanced LLC; Mesa (AZ); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Flint Advanced LLC in Mesa, AZ is seeking a Data Engineer to design, implement, and maintain robust data infrastructure in a full-time, hybrid role. You will build and optimize data pipelines, integrate diverse data sources, and ensure data quality while collaborating with the data science team to deploy machine learning models on cloud platforms such as AWS or GCP.

Ideal candidates will have 3–5 years of experience, a bachelor's in a related field, and the ability to thrive in a fast-paced,

Qualifications

• Bachelor's degree in computer science, engineering, or a related field.
• 3-5 years of experience in data engineering.
• Proficiency in SQL, Python, Hadoop, Spark and Kafka.
• Experience with cloud platforms such as AWS or GCP.
• Strong data quality, data pipelines design, and data infrastructure optimization.

Responsibilities

• Design and implement data pipelines.
• Integrate data sources.
• Ensure data quality and integrity.
• Collaborate with the data science team to develop and deploy machine learning models.
• Optimize data infrastructure.
• Maintain data infrastructure.

Skills

SQL

Python

Hadoop

Spark

Kafka

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS

GCP

Job description

Flint Advanced LLC, a established company of advanced engineering solutions in Mesa, AZ, is hiring a Data Engineer for a full-time position. In this role, you'll be instrumental in designing, implementing, and maintaining our data infrastructure to ensure robustness, scalability, and efficiency.

As a Data Engineer, you'll build and optimize data pipelines, integrate various data sources, and maintain data quality and integrity. You'll collaborate closely with the data science team to develop and deploy machine learning models, utilizing your expertise in big data technologies and cloud platforms.

You’ll join a dynamic team in Mesa, AZ, working alongside engineers, data scientists, and other professionals to drive innovation and deliver high-quality solutions. Our workplace culture values continuous learning, collaboration, and technical excellence.

The salary for this position ranges from $140,000 to $210,393 per year. Additional benefits and details will be discussed during the interview process.

To succeed in this role, you should have a strong background in data engineering, with proficiency in SQL, Python, and big data technologies like Hadoop, Spark, and Kafka. Experience with cloud platforms such as AWS or GCP is highly desirable. You should also hold a bachelor's degree in computer science, engineering, or a related field, along with 3-5 years of relevant experience in data engineering.

The role requires a certain level of technical proficiency, so candidates should have a good understanding of relevant software and tools.

Candidates should be prepared to work in a fast-paced setting, with the ability to adapt to changing priorities and tasks.

They should also be comfortable with various online tools and platforms, as they may be required to complete online assessments or interviews.

The workplace is a dynamic and collaborative environment, where teamwork and communication are highly valued.

They should also be comfortable with remote work, as the company operates in a hybrid work model, allowing employees to work from home or the office as needed.

Design and implement data pipelines, integrate data sources, ensure data quality, collaborate with data science team, optimize data infrastructure, develop and deploy machine learning modelsBachelor's degree in computer science, engineering, or related field, 3-5 years of experience in data engineering, proficiency in SQL, Python, Hadoop, Spark, Kafka, experience with cloud platforms like AWS or GCP