
Legal • Enterprise • B2B
Teams Squared is an Alternate Legal Service Provider (ALSP) that connects law firms and legal teams with top-tier legal professionals from emerging markets. By leveraging a network of highly qualified remote legal talent, Teams Squared helps firms improve efficiency and reduce costs in areas such as commercial law, corporate law, litigation, and e-discovery. The company is committed to quality, reliability, and effective communication, ensuring that clients can access skilled legal resources while focusing on core legal tasks.
February 7

Legal • Enterprise • B2B
Teams Squared is an Alternate Legal Service Provider (ALSP) that connects law firms and legal teams with top-tier legal professionals from emerging markets. By leveraging a network of highly qualified remote legal talent, Teams Squared helps firms improve efficiency and reduce costs in areas such as commercial law, corporate law, litigation, and e-discovery. The company is committed to quality, reliability, and effective communication, ensuring that clients can access skilled legal resources while focusing on core legal tasks.
• This is a remote position. • We are seeking a highly experienced Data Engineer Team Lead to spearhead a long-term client engagement. • The ideal candidate will bring deep technical knowledge in distributed data processing tools, with specific expertise in Kafka, Spark, and Hadoop. • Experience with BigQuery is highly desirable. • This role demands proven leadership capabilities, including the ability to mentor engineers, drive project success, and communicate technical solutions effectively to stakeholders. • As a key leader in the engineering function, you will take ownership of architectural decisions, data pipeline optimizations, and guide cross-functional collaboration across teams in a dynamic, fully remote environment.
• 6+ years of experience in data engineering, including recent leadership or team lead roles. • Expertise in Apache Kafka, Apache Spark, and Hadoop ecosystems. • Hands-on experience with cloud data platforms; BigQuery experience preferred. • Demonstrated success in leading technical teams and delivering complex data solutions at scale. • Strong problem-solving, debugging, and performance tuning skills. • Excellent communication and leadership skills, with experience managing team workflows and stakeholder expectations. • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Fully remote work • Competitive compensation package paid in foreign currency • Regular initiatives for training and professional development.
Apply NowFebruary 4
As a data engineering leader at xcelForce, optimize performance in big data environments while mentoring teams.
AWS
EC2
ETL
Node.js
RDBMS
January 12
Data Engineer developing and refining dashboards in Power BI for educational projects. Collaborating on data cleaning, modeling, and API integrations in a flexible remote setting.
🗣️🇭🇺 Hungarian Required
ETL
Python
SQL
January 7
Advancio seeks a Data Scientist to analyze datasets and develop machine learning models.
AWS
Azure
Cloud
Google Cloud Platform
Hadoop
Node.js
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
Tableau
Tensorflow
January 6
Develop low-latency data products to enhance customer experiences at Netflix. Work with data scientists and engineers yielding critical data insights.
🇺🇸 United States – Remote
💵 $170k - $720k / year
💰 $20M Post-IPO Equity on 2022-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Distributed Systems
GRPC
Java
Scala
Spark
Spring
SQL
January 6
Join Netflix as a Data Engineer focusing on scalable privacy-centric data frameworks. Work with diverse data technologies to build robust data pipelines.
🇺🇸 United States – Remote
💵 $170k - $720k / year
💰 $20M Post-IPO Equity on 2022-01
⏰ Full Time
🟠 Senior
🔴 Lead
🚰 Data Engineer
🦅 H1B Visa Sponsor
ETL
Java
Kafka
Python
Scala
Spark
SQL