Data Engineer

3 days ago

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Solvd, Inc.

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SaaS • B2B • Enterprise

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

501 - 1000 employees

Founded 2010

☁️ SaaS

🤝 B2B

🏢 Enterprise

📋 Description

• Design, build, and optimize scalable data infrastructure for risk and compliance workloads • Develop batch and streaming pipelines using modern big data technologies • Implement robust ETL and ELT workflows across diverse structured and unstructured data sources • Work extensively with AWS services including EMR, Redshift, S3, Glue, Lambda, Kinesis, and related data tools • Build high-throughput, low-latency systems that support real-time or near-real-time decision making • Partner with data scientists, analysts, and engineering teams to deliver reliable and well-documented datasets • Translate business requirements into technical specifications and scalable data solutions • Mentor team members and contribute to best practices and reusable frameworks within Solvd • Streamline reporting, analytics, and data preparation processes • Replace manual workflows with automated, repeatable systems • Support ongoing performance tuning, monitoring, and platform optimization

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar • 3 or more years of hands-on experience in data engineering or related fields • Strong proficiency in SQL and data modeling for analytics and warehousing • Experience building ETL or ELT pipelines at scale • Experience with big data technologies such as Hadoop, Hive, Spark, HBase, or EMR • Knowledge of distributed systems and data storage principles • Basic scripting skills in Python or Scala • Familiarity with machine learning concepts • Preferred: Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda • Preferred: Experience working with non-relational data stores such as document, key-value, column-family, or graph databases • Preferred: Experience collaborating with cross-functional risk, compliance, or analytics teams • Preferred: Strong understanding of data governance, quality, and security best practices.

🏖️ Benefits

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. • Be part of a global team with equal opportunities for collaboration across continents and cultures. • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.