Big Data Developer # 26-20966

Work Model: Hybrid – 2 days onsite per week (Monday & Tuesday) Duration: 12 months Position Overview We are seeking a Data Solutions Developer IV to join a team responsible for building and supporting scalable data solutions and processing platforms. The ideal candidate will have strong hands-on experience with Scala, Spark, Akka/Pekko, SQL, and data modeling. This role is well suited for a senior developer who enjoys working with large datasets, building high-performance data pipelines, and solving complex data-related challenges. Key Responsibilities Design, develop, and maintain scalable data processing solutions and applications. Build and optimize data pipelines for large-scale data processing, transformation, and aggregation. Develop solutions using Scala, Spark, and Akka/Pekko. Write complex SQL queries and work with relational and non-relational databases. Develop and maintain data models and support data warehousing initiatives. Analyze and troubleshoot data issues to ensure data quality, accuracy, and reliability. Collaborate with developers, business stakeholders, and other technical teams to understand requirements and deliver solutions. Identify performance issues and implement improvements to existing data solutions. Follow data security, privacy, and governance standards. Contribute to ongoing improvements across the team's data platforms and development practices. Required Skills & Experience 8–10 years of overall software/data development experience. 5+ years of Scala development experience. 2–3 years of Akka or Pekko experience. 5–8 years of Spark / Big Data experience. Strong SQL development experience. Strong understanding of data modeling and data warehousing. Experience building and supporting data pipelines and large-scale processing systems. Experience with relational and non-relational databases. Strong analytical and problem-solving skills. Experience with Python or Java is an asset. Bachelor’s degree in computer science, Information Technology, or a related field. Nice to Have Databricks experience. Databricks, Spark, or Scala certification. Financial services or banking experience. Interview Process Round 1: Virtual technical interview Round 2: In-person behavioral/technical interview A technical assessment may be required following the first interview About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

Design, develop, and maintain scalable data processing solutions and high-performance pipelines using Scala, Spark, and Akka/Pekko. Collaborate with stakeholders to optimize data models and ensure data quality and reliability across platforms.

Requires 8-10 years of software development experience with strong expertise in Scala, Spark, and SQL. A Bachelor's degree in Computer Science or a related field is required.

• SQLSouhaitée
• JavaSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Scala
• Spark
• Akka
• Pekko
• SQL
• Data Modeling
• Data Warehousing
• Data Pipelines
• Relational Databases
• Non-relational Databases
• Python
• Java
• Databricks
• Big Data
• Data Processing
• Analytical Skills

• Data & Analytics
• Software
• Technology
• Finance & Accounting
• Engineering

Formation minimale

Baccalauréat

Expérience minimale

10+ ans

Postuler avant le

20 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

2 jours par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte