Staff Software Engineer - DSM

Cint; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Cint is seeking a Staff Software Engineer for the Data Solutions & Measurement team to design, implement, scale, and maintain backend systems powering production research services.

You will work with minimal supervision, collaborating with outcomes, methodology, and recruitment teams, as well as product and data science, to deliver high‑quality data solutions and fast insights.

Qualifications

• 10+ years of backend software engineering experience with deep technical expertise.
• Experience with Java; familiarity with multiple languages (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc.) is welcomed.
• Solid understanding of algorithms, data structures, Big O notation, and event‑driven architecture.
• Familiarity with heavy data processing tools (Spark, Apache ecosystem, Delta Lake, Parquet, Kafka, Avro).
• Experience with Python/PySpark and building high‑volume, low‑latency real‑time systems.
• Experience with Docker, SQL/NoSQL databases, REST APIs, and event‑driven integrations.
• Comfortable in high‑throughput, performance‑oriented production environments.
• Strong problem‑solving skills and a proactive, collaborative working style.
• Excellent communication with engineers and data science partners.
• Computer science, computer engineering, or a related field is preferred.

Responsibilities

• Design, implement, scale, and maintain large‑volume data processing systems.
• Develop event‑driven and API‑based integrations.
• Contribute to migration toward a domain‑based, scalable architecture.
• Build software optimized for performance‑sensitive workflows.
• Investigate technical problems and propose solutions collaboratively.
• Collaborate closely with data science and engineering peers.
• Participate in a collaborative development model where work is shared.

Skills

Backend engineering

Java

Python

Scala

C/C++

Haskell

Elixir

Go

Ruby

Education

Computer science/Computer engineering or related field

Tools

Docker

Spark

Kafka

Delta Lake

Parquet

Avro

SQL/NoSQL databases

Job description

Cint is a global software leader in technology‑enabled digital insights and research technology, and the Cint platform automates the insights‑gathering process so that companies can gain access to insights faster with unparalleled scale.

Job Description

The Cint Technology team is looking for a Staff Software Engineer to join our international Data Solutions & Measurement team. The role focuses on designing, implementing, scaling, and maintaining the backend systems that power our production research services. You will work with no supervision, ensuring timely and high‑quality delivery, and collaborate closely with the Outcomes, Methodology, and Recruitment teams, as well as product and data science.

What You Will Do

You'll spend roughly 20% of your time influencing junior and mid‑level engineers while focusing 80% on complex problems. Your responsibilities include:

• Design, implement, scale, and maintain large‑volume data processing systems.
• Develop event‑driven and API‑based integrations.
• Contribute to migration toward a domain‑based, scalable architecture.
• Build software optimized for performance‑sensitive workflows.
• Investigate technical problems and propose solutions collaboratively.
• Collaborate closely with data science and engineering peers.
• Participate in a collaborative development model where work is shared.

Qualifications

• 10+ years of backend software engineering experience with deep technical expertise.
• Experience with Java; familiarity with multiple languages (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc.) is welcomed.
• Solid understanding of algorithms, data structures, Big O notation, and event‑driven architecture.
• Familiarity with heavy data processing tools (Spark, Apache ecosystem, Delta Lake, Parquet, Kafka, Avro).
• Experience with Python/PySpark and building high‑volume, low‑latency real‑time systems.
• Experience with Docker, SQL/NoSQL databases, REST APIs, and event‑driven integrations.
• Comfortable in high‑throughput, performance‑oriented production environments.
• Strong problem‑solving skills and a proactive, collaborative working style.
• Excellent communication with engineers and data science partners.
• Computer science, computer engineering, or a related field is preferred.

Nice to Have

• Cloud experience (AWS, GCP, or other providers).
• Pandas experience.
• Spring framework and microservices experience.
• Experience working in large‑scale data or analytics environments.

Company Values

• Collaboration, innovation, accountability, caring, and diversity, equity, and inclusion.