Senior Data Engineer (AWS, Python & SQL)

Posted An Hour Ago
Be an Early Applicant
3 Locations
Remote
Senior level
Information Technology • Software
The Role
Design, build, and optimize scalable data pipelines and infrastructure in AWS to support analytics, ecommerce, logistics, and marketing. Ensure data quality, performance, resiliency, and cost efficiency using Spark, Airflow, Redshift/Snowflake, and Fivetran. Collaborate with stakeholders and mentor engineers.
Summary Generated by Built In

We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms that support analytics, ecommerce, logistics, and marketing initiatives. This role will be responsible for developing robust data pipelines, improving the data infrastructure, and ensuring high-quality, reliable data solutions in an AWS environment. The ideal candidate has strong expertise in Python, SQL, Spark, Airflow, and cloud-based data architectures, along with excellent communication skills and a collaborative mindset.

Responsibilities

  • Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
  • Improve and maintain the company's data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran.
  • Architect data processing systems capable of handling complex data flows and large-scale datasets.
  • Develop reliable, efficient, and cost-effective data solutions in an AWS environment.
  • Ensure high standards of data quality through automation and best engineering practices.
  • Optimize platform performance, resiliency, scalability, and operational costs.
  • Collaborate closely with software engineers, analysts, and business stakeholders.
  • Mentor engineers and analysts on data engineering best practices.
  • Participate in architecture discussions and technical decision-making.

RequirementsMust Have
  • 4+ years of experience as a Data Engineer working with modern data technologies.
  • Strong proficiency in Python and SQL.
  • Experience processing large-scale datasets.
  • Hands-on experience with Apache Spark and Apache Airflow.
  • Experience designing and architecting data processing systems in AWS.
  • Experience with Redshift and/or Snowflake.
  • Knowledge of Fivetran or similar data ingestion tools.
  • Strong understanding of data quality, automation, and data engineering best practices.
  • Excellent communication and interpersonal skills.
Nice to Have
  • Experience with streaming technologies such as Kafka or AWS Kinesis Firehose.
  • Knowledge of Docker and/or Kubernetes.
  • Familiarity with Ruby or R.
  • Experience building or migrating a Data Warehouse.
  • Experience leading projects or mentoring technical teams.

Benefits

A stable, long-term contract. Continuous Training. Private Health insurance. Flexible schedule. Work with some of the most talented software engineers in Latin America and the US, doing challenging work and world-class software for clients in the US and around the world.

At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:

• A stable, long-term contract with opportunities for career growth

• Private health insurance

• A remote-friendly culture that promotes work-life balance

• Continuous training, mentorship, and learning programs to keep you at the forefront of the industry

• Free access to AI training resources and state-of-the-art AI tools to elevate your daily work

• A flexible Paid Time Off (PTO) policy as well as paid holiday days

• Challenging, world-class software projects for clients in the US and LatAm

• Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment

Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

Skills Required

  • 4+ years of experience as a Data Engineer working with modern data technologies.
  • Proficiency in Python.
  • Proficiency in SQL.
  • Experience processing large-scale datasets.
  • Hands-on experience with Apache Spark.
  • Hands-on experience with Apache Airflow.
  • Experience designing and architecting data processing systems in AWS.
  • Experience with Redshift and/or Snowflake.
  • Knowledge of Fivetran or similar data ingestion tools.
  • Strong understanding of data quality, automation, and data engineering best practices.
  • Excellent communication and interpersonal skills.
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The Company
HQ: New York, NY
223 Employees
Year Founded: 2010

What We Do

Devsu is a trusted technology partner that delivers world-class software delivery and staff augmentation services to startups, scale-ups, and enterprise companies. With over a decade of experience in the industry, our team of seasoned professionals has the necessary knowledge, expertise, and experience to help you build, scale, and launch your next digital product. We take pride in our customer-centric approach and our commitment to delivering high-quality solutions that meet and exceed our client’s expectations. Our nearshore model allows us to offer cost-effective and flexible services tailored to your needs without sacrificing quality. At Devsu, we believe in the power of technology to transform businesses and improve people’s lives. That’s why we invest heavily in our people, processes, and IP to provide you with the best talent and cutting-edge solutions to help you achieve your goals and stay ahead of the curve. Whether you need to develop a new product from scratch, augment your existing team, or optimize your software development processes, Devsu has the expertise and team to make it happen.

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