Lead Data Engineer

Syniverse; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible/remote work

Competitive total compensation

Job summary

Syniverse is seeking an experienced Lead Data Engineer to build and optimize data pipelines and data platforms. You will collaborate with developers, architects, product managers, and analysts to ensure high-performance data delivery and scalable architectures.

The role emphasizes ownership, continuous improvement, and working within an innovative culture that values speed, quality, and collaboration, with flexible/remote work options.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Informatics or related field or equivalent work experience.
• 5-8 years of Software Development experience.
• 3+ years of experience in Data Engineer fields.

Responsibilities

• Create, enhance, and maintain optimal data pipeline architecture and implementations.
• Analyze data sets to meet functional / non-functional business requirements.
• Identify, design, and implement data processes: automating processes, optimizing data delivery, etc.
• Build infrastructure and tools to increase data ETL velocity.
• Work with data and analytics experts to implement and enhance analytic product features.
• Provide lifecycle support to Operations for existing products, services, and functionality assigned to Data Engineering.
• Review design documents and code to provide constructive feedback.
• Testing and deploying programs and applications.
• Constantly improve product quality, security, and performance.

Skills

Big data pipelines

Python

Java/Scala

SQL

Spark

Data modeling

Education

Bachelor’s degree in CS/Statistics/Info Science

Tools

Hadoop

Spark

Kafka

PostgreSQL

MySQL

Flink

Job description

Syniverse is the world’s most connected company. Whether we’re developing the technology that enables intelligent cars to safely react to traffic changes or freeing travelers to explore by keeping their devices online wherever they go, we believe in leading the world forward. Which is why we work with some of the world’s most recognized brands. Eight of the top 10 banks. Four of the top 5 global technology companies. Over 900 communications providers. And how we’re able to provide our incredible talent with an innovative culture and great benefits.

Who We’re Looking For

The Lead Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems or building new solutions from ground up. This role will work with developers, architects, product managers and data analysts on data initiatives and ensure optimal data delivery with good performance and uptime metrics.

Your behaviors align strongly with our values because ours do.

Some of What You’ll Do

Scope of the Role:

• Direct Reports: This is an individual contributor role with no direct reports

Key Responsibilities

• Create, enhance, and maintain optimal data pipeline architecture and implementations.

• Analyze data sets to meet functional / non-functional business requirements.

• Identify, design, and implement data process: automating processes, optimizing data delivery, etc.

• Build infrastructure and tools to increase data ETL velocity.

• Work with data and analytics experts to implement and enhance analytic product features.

• Provide life cycle support the Operations team for existing products, services, and functionality assigned to the Data Engineering team.

• Review design documents and code to provide constructive feedback.

• Testing and deploying programs and applications.

• Constantly improve product quality, security, and performance.

Experience, Education, and Certifications:

• Bachelor’s degree in Computer Science, Statistics, Informatics or related field or equivalent work experience.

• 5-8 years of Software Development experience

• 3+ years of experience in Data Engineer fields.

Additional Requirements:

• Familiar with Agile software design processes and methodologies.

• Experience in building and optimizing big data pipelines, architectures, and data sets:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.

• Experience with relational SQL databases, such as PostgreSQL, MySQL, etc.

• Experience with stream-processing systems: Flink, KSQL, Spark-Streaming, etc.

• Experience with programming languages, such as Java, Scala, Python, etc.

• Experience with cloud data engineering and development, such as AWS, etc.

• Good analytic skills related to working with structured and unstructured datasets.

• Knowledge of message queuing, stream processing and scalable big data stores.

• Ownership/accountability for tasks/projects with on time and quality deliveries.

• Good verbal and written communication skills.

• Teamwork with independent design and development habits.

• Work with a sense of urgency and positive attitude.

Why You Should Join Us

Join us as we write a new chapter, guided by world-class leadership. Come be a part of an exciting and growing organization where we offer a competitive total compensation, flexible/remote work and with a leadership team committed to fostering an inclusive, collaborative, and transparent organizational culture.

At Syniverse connectedness is at the core of our business. We believe diversity, equity, and inclusion among our employees is crucial to our success as a global company as we seek to recruit, develop, and retain the most talented people who want to help us connect the world.

Pay Transparency

In accordance with applicable pay transparency requirements, Syniverse will provide information regarding the salary range or compensation for this position during the recruitment process and prior to any compensation discussions.