Data Engineer

USA- New York Remote Office, United States

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It's fun to work at a company where people truly believe in what they are doing!

Job Description:

About Us: Epiq AI Labs is at the forefront of artificial intelligence and machine learning innovation. We are dedicated to developing cutting-edge solutions that transform industries and improve lives. Our team is composed of passionate and talented individuals who thrive in a collaborative and dynamic environment.

Job Description: We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer at Epiq AI Labs, you will play a crucial role in designing, building, and maintaining the infrastructure that supports our data-driven projects. You will work closely with data scientists, software engineers, and other stakeholders to ensure the efficient and reliable flow of data across our systems.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with data scientists and software engineers to understand data requirements and deliver high-quality data solutions.
  • Implement and optimize data storage solutions, including databases, data warehouses, and data lakes.
  • Ensure data quality, integrity, and security across all data systems.
  • Monitor and troubleshoot data pipelines to ensure smooth operation and timely delivery of data.
  • Develop and maintain documentation for data engineering processes and systems.
  • Stay up-to-date with the latest industry trends and technologies in data engineering and apply them to improve our data infrastructure.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience with relational databases.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or a related field.
  • Experience with data visualization tools and techniques.
  • Knowledge of machine learning and AI concepts.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.

Why Join Us:

  • Opportunity to work on innovative and impactful projects.
  • Collaborative and inclusive work environment.
  • Competitive salary and benefits package.
  • Professional development and growth opportunities.

Your specific salary will be determined based on several factors:

  • Location-based market rate for the role

  • Your abilities in relation to the job specification

  • Performance during screening and interview

  • Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request.  Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS Azure Big Data Computer Science Data pipelines Data quality Data visualization Docker Engineering ETL GCP Google Cloud Hadoop Java Kafka Kubernetes Machine Learning Pipelines Python RDBMS Scala Security Spark SQL

Perks/benefits: Career development Competitive pay Health care Startup environment

Regions: Remote/Anywhere North America
Country: United States

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