Senior Backend Engineer (Spark, Scala, Python, AWS/GCP)

MACHINE LEARNING TECHNOLOGIES LLC; Elk Grove (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Backend Engineer to design and implement scalable data pipelines and back-end systems. You will work with Spark, Python, Scala, and Java, and leverage cloud platforms to process large datasets.

You will build real-time streaming with MSK/Kafka, utilize S3 storage, and ensure data quality and security while collaborating with data scientists and other engineers. Experience in data warehousing and CI/CD is a plus.

Qualifications

• Bachelor’s degree in computer science or a related field or equivalent experience.
• 5+ years of backend data engineering experience.

Responsibilities

• Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java.
• Write efficient SQL for ETL processes and data extraction.
• Work with DataFrames to manipulate large datasets and ensure data quality.
• Implement cloud-based storage and processing using AWS or GCP.
• Build real-time data streaming pipelines with MSK/Kafka and S3 data lake technologies.
• Collaborate with data scientists and engineers; participate in code reviews and CI/CD.
• Troubleshoot data pipelines and back-end systems to ensure reliability.

Skills

Spark

Python

Scala

Java

SQL

DataFrames

AWS

GCP

Kafka MSK

S3

Iceberg

Education

Bachelor’s degree in computer science or related field

Tools

Apache Kafka

CI/CD

Docker

Kubernetes

AWS

GCP

Job description

Job ID: J52255

Job Title: Senior Backend Engineer (Spark, Scala, Python, AWS/GCP)

Location: Elk Grove, CA

Duration: 12 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

About The Role

We are seeking a skilled and passionate Back-End Engineer with a strong background in data engineering to join our growing team. In this role, you will be responsible for designing, developing, and maintaining scalable and reliable data pipelines and back-end systems. You will work with large datasets, leverage cloud technologies, and collaborate with data scientists and other engineers to deliver impactful data-driven solutions. This position is available in both the United States and India.

Responsibilities

• Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java.
• Write efficient and optimized SQL queries for data extraction, transformation, and loading (ETL) processes.
• Work with DataFrames to manipulate and analyze large datasets.
• Implement data storage and processing solutions using cloud technologies (preferably AWS or GCP).
• Build and maintain real-time data streaming pipelines using MSK/Kafka.
• Utilize S3 for data storage and retrieval.
• Work with data lake technologies like Iceberg.
• Ensure data quality, integrity, and security.
• Collaborate with data scientists and other engineers to understand data requirements and deliver solutions.
• Participate in code reviews and contribute to improving our development processes.
• Troubleshoot and resolve issues in data pipelines and back-end systems.

Qualifications

• Bachelor’s degree in computer science or a related field (or equivalent experience).
• 5+ years of experience in back-end development with a focus on data engineering.

Required Skills

• Strong proficiency in Spark, Python, Scala, and Java.
• Expertise in SQL and working with relational databases.
• Experience with DataFrames for data manipulation and analysis.
• Experience with cloud technologies (preferably AWS or GCP).
• Experience with message streaming platforms like MSK/Kafka.
• Experience with S3 or similar object storage.
• Experience with data lake technologies like Iceberg.
• Solid understanding of data warehousing concepts.
• Excellent communication and collaboration skills.

Bonus Points

• Experience with data modelling and schema design.
• Experience with data governance and data quality management.
• Experience with DevOps practices and CI/CD pipelines.
• Relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer).

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Neither will MACHINE LEARNING TECHNOLOGIES LLC require a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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