Senior Software Engineer II

WHO WE ARE:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

Who You Are:
You are a skilled and experienced data engineer with a strong background in Big Data and modern data platforms. You have expertise in Apache Spark, Hive, Airflow, and Lakehouse technologies (Delta Lake, Apache Hudi, Apache Iceberg), along with cloud-native data services. Your ability to lead projects and collaborate with cross-functional teams allows you to ensure data integrity, scalability, and operational efficiency.

What You’ll Do:
• Build the next-gen data infrastructure for Zinnia using Lakehouse frameworks, Apache Airflow, Apache Spark, and Hive.
• Design, build, and optimize data workflows across real-time, nearline, and offline data ecosystems.
• Leverage Lakehouse platforms (Delta Lake, Hudi, Iceberg) to enable unified batch and streaming pipelines.
• Collaborate with stakeholders and cross-functional teams to understand business requirements and translate them into scalable, data-driven technical solutions.
• Provide technical expertise in troubleshooting and resolving complex, distributed data-related issues.
• Stay up to date with Big Data, cloud, and Lakehouse trends, recommending best practices for data engineering and integration.
• Mentor and guide junior engineers, fostering a culture of innovation, automation, and continuous learning.

What You’ll Need
• Bachelor’s degree in computer science, Information Technology, or related field.
• 10+ years of experience in Big Data engineering or a similar role, with proven leadership and project management experience.
• Strong expertise in data integration, transformation, and orchestration using Spark, Hive, and Airflow.
• Proficiency in Lakehouse platforms (Delta Lake, Apache Hudi, Apache Iceberg) and data warehousing concepts.
• Familiarity with cloud-based data environments (AWS, GCP, or Azure).
• In-depth understanding of scalable data pipelines, distributed computing, and modern data architectures.
• Programming knowledge in Scala or Python
• Knowledge of data quality and governance principles and experience implementing them within the Big Data lifecycle.
• Excellent communication, leadership, and interpersonal skills, with the ability to collaborate across teams.
• Proven ability to adapt to changing priorities, manage multiple projects simultaneously, and deliver results in a fast-paced environment.

WHAT’S IN IT FOR YOU?

Zinnia offers excellent career progression and competitive compensation with the goal of retaining and growing talented team members. The salary range for this role is a good faith estimate; it is estimated based on what a successful candidate might be paid in certain Company locations. The salary range for this position is $130,000-$150,000. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive salaries that align with the individual’s skills, education, experience, training, and geographic location. The range may vary above or below the stated amounts. Zinnia offers excellent career progression and competitive compensation. We offer great benefits, including health/dental insurance, parental leave, 401(k), incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

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