About talentflow
Welcome to talentflow, a forward‑thinking technology partner that is redefining the way businesses harness data to drive growth, efficiency, and customer delight. With a legacy of delivering secure, scalable, and high‑performance solutions across the financial services, retail, and logistics sectors, talentflow is at the forefront of the digital transformation wave. Our culture is built on curiosity, collaboration, and a relentless pursuit of excellence. We empower our people to experiment, innovate, and own their impact—whether that means building the next generation of data pipelines, crafting intelligent analytics dashboards, or pioneering open‑source contributions that shape the industry.
Why This Role Matters
As a Senior Data Engineer on our Remote Big Data team, you will be the linchpin that turns raw, unstructured data into actionable insights for talentflow’s global clients. You’ll work side‑by‑side with seasoned architects, data scientists, and product managers to design, develop, and maintain robust data pipelines that power real‑time analytics, machine‑learning models, and enterprise reporting. Your work will directly influence how our clients make data‑driven decisions, optimize operations, and unlock new revenue streams.
Key Responsibilities
- Design & Build Scalable Data Pipelines: Architect end‑to‑end data workflows using Hadoop, Spark, Flink, and cloud services (AWS, GCP, Azure). Ensure pipelines are fault‑tolerant, efficient, and meet SLAs.
- Develop & Maintain Data Services: Write clean, well‑documented code in Java, Scala, or Python. Create reusable libraries, APIs, and microservices that expose data to downstream consumers.
- Automate Testing & Deployment: Implement unit, integration, and performance tests. Leverage CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) to automate builds, tests, and deployments.
- Optimize Performance: Profile and tune SQL queries, Spark jobs, and data storage structures. Reduce latency and resource consumption while maintaining data quality.
- Collaborate Across Teams: Partner with data scientists to understand model requirements. Work with product owners to translate business needs into technical specifications.
- Mentor & Lead: Guide junior engineers, conduct code reviews, and champion best practices. Foster a culture of continuous learning and knowledge sharing.
- Ensure Data Governance: Implement data lineage, metadata management, and security controls. Adhere to compliance standards such as GDPR, PCI‑DSS, and internal policies.
- Contribute to Open Source: Participate in talentflow’s open‑source initiatives. Share innovations with the community and stay ahead of industry trends.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of professional experience in data engineering or software development.
- Proficiency in at least one of the following programming languages: Java, Scala, Python.
- Hands‑on experience with Hadoop ecosystem components (HDFS, Hive, Impala, Spark, Flink).
- Strong SQL skills, including complex joins, window functions, and performance tuning.
- Experience with cloud data platforms (AWS EMR, GCP Dataproc, Azure HDInsight) and container orchestration (Kubernetes, Docker).
- Familiarity with version control (Git) and CI/CD pipelines.
- Excellent problem‑solving skills and a passion for clean, maintainable code.
Preferred Qualifications
- Experience with real‑time streaming technologies such as Kafka, Kinesis, or Pub/Sub.
- Knowledge of NoSQL databases (MongoDB, Cassandra, HBase) and graph databases.
- Background in building microservices and RESTful APIs.
- Exposure to machine‑learning pipelines and model deployment.
- Certifications in cloud platforms (AWS Certified Big Data, GCP Professional Data Engineer).
- Active contributor to open‑source projects or personal data‑engineering tools.
Skills & Competencies
- Technical Proficiency: Advanced knowledge of distributed computing, data modeling, and ETL processes.
- Analytical Thinking: Ability to dissect complex data problems and devise elegant solutions.
- Communication: Clear articulation of technical concepts to non‑technical stakeholders.
- Collaboration: Proven track record of working effectively in cross‑functional teams.
- Adaptability: Comfortable navigating evolving technologies and shifting priorities.
- Leadership: Mentoring junior engineers and driving technical excellence.
Career Growth & Learning Opportunities
At talentflow, your career trajectory is designed to be both challenging and rewarding. You’ll have access to:
- Structured mentorship programs with senior architects and industry experts.
- Annual learning stipend for courses, certifications, and conferences.
- Opportunities to lead high‑impact projects and shape product roadmaps.
- Cross‑functional rotations that expose you to data science, product management, and business strategy.
- Involvement in talentflow’s open‑source community, giving you a platform to showcase your expertise.
Work Environment & Culture
Remote work is at the core of talentflow’s culture. We provide:
- Flexible work hours that accommodate different time zones.
- High‑speed internet stipend and ergonomic equipment allowance.
- Regular virtual team‑building events, hackathons, and knowledge‑sharing sessions.
- A transparent, merit‑based promotion system that rewards innovation and impact.
- Inclusive hiring practices that celebrate diversity of thought and background.
Compensation & Benefits
We offer a competitive hourly rate of $28 per hour, along with a comprehensive benefits package that includes:
- Health, dental, and vision insurance (fully or partially covered).
- 401(k) retirement plan with company match.
- Paid time off (vacation, sick leave, and personal days).
- Professional development budget and tuition reimbursement.
- Employee wellness program and mental‑health resources.
- Annual performance bonus potential based on individual and company metrics.
How to Apply
Ready to take the next step in your data engineering career? Join talentflow and help shape the future of data‑driven solutions for a global clientele. Click the link below to submit your application and become part of a team that values innovation, collaboration, and personal growth.
Apply Now – talentflow Careers
Closing Statement
At talentflow, we believe that great data engineering is the engine behind transformative business outcomes. If you are passionate about building scalable, high‑quality data pipelines, thrive in a remote, collaborative environment, and want to make a tangible impact on our clients’ success, we want to hear from you. Join us, and together we’ll turn data into insight, insight into action, and action into lasting value.