Staff Software Engineer - Platform (Finance Data) -- Remote | WFH - Get It Recruit - Finance
Martin's Additions, MD 20815
About the Job
Position Description
Our Staff Engineer plays a pivotal role in our engineering team, collaborating across the organization to ensure a seamless experience for our customers while upholding top-tier standards of security and availability. Our team thrives in delivering high-quality technology products and services, influencing best practices in a dynamic, rapidly evolving environment. The ideal candidate possesses extensive technical expertise, ranging from backend resource management to system reliability, with a strong focus on Platform and Data Engineering. They will lead the creation and management of a Finance Data Lake, integrating multiple edge sources from inception.
Position Responsibilities
As a Staff Engineer, you will:
- Take ownership and drive the end-to-end execution of the Data Lakehouse for Finance Data, ensuring its effectiveness and reliability.
- Provide leadership to engineering teams, guiding multiple areas of focus.
- Oversee the entire lifecycle of solutions, from inception through maintenance.
- Collaborate with engineering leadership, team members, and stakeholders to solve complex challenges and build robust business applications.
- Ensure automation, quality, usability, and performance are central to all solutions.
- Lead design sessions and code reviews to elevate engineering standards.
- Utilize Python, SQL, NoSQL databases, and Container Orchestration services (e.g., Terraform, Docker, Kubernetes) along with Azure tools to develop an Event-Driven Big Data Streaming platform for ELT data pipelines.
- Mentor junior team members to foster their professional growth.
- Share best practices and improve processes across teams.
Qualifications
- Proficiency in at least two modern programming languages such as Java or Python, including object-oriented design and PowerShell scripting.
- Experience in architecting and designing scalable systems, including reliability and scaling considerations.
- Expertise in Event-Driven Big Data streaming infrastructure and ETL/ELT frameworks (e.g., Spark Streaming, Flink, Kafka, Hive, Airflow).
- Demonstrated ability in deploying highly robust and scalable data pipelines processing petabytes of data.
- Familiarity with Hadoop, SQL, and NoSQL platforms, as well as various file formats (Iceberg, Avro, JSON, Parquet).
- Fluency in DevOps concepts, Containerization, Test Automation, CI/CD, and Infrastructure as Code (e.g., GitHub, Kubernetes, Docker, Terraform, Helm, Ansible).
- Experience with Azure services (e.g., Azure DevOps, Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Storage).
- Proficiency in observability and monitoring platforms (e.g., Grafana, Azure Monitoring, AppInsights, Dynatrace).
- Experience in performance tuning for applications handling large datasets.
- Knowledge of Load Testing and Quality Assurance processes.
- Strong communication skills, both verbal and written.
Experience
- 6+ years of professional experience in data software development and big data technologies.
- 4+ years of experience with open-source frameworks.
- 3+ years of experience in system architecture and design.
- 3+ years of experience with AWS, GCP, Azure, or another cloud service.
Education
- Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
Salary Range
- Annual salary: $110,000.00 - $236,500.00 (Note: Salary to be determined based on candidate qualifications and other factors.)
Benefits
- Comprehensive Total Rewards Program including premier medical, dental, and vision insurance with no waiting period, paid vacation, sick leave, parental leave, 401(k) plan, tuition reimbursement, paid training, and licensures.
- Benefit eligibility varies by location and may depend on length of service.
Equal Employment Opportunity
We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability, or genetic information. Our hiring and promotion decisions are based solely on qualifications relevant to the job.
Employment Type: Full-Time
Salary: $ 110,000.00 230,000.00 Per Year
Our Staff Engineer plays a pivotal role in our engineering team, collaborating across the organization to ensure a seamless experience for our customers while upholding top-tier standards of security and availability. Our team thrives in delivering high-quality technology products and services, influencing best practices in a dynamic, rapidly evolving environment. The ideal candidate possesses extensive technical expertise, ranging from backend resource management to system reliability, with a strong focus on Platform and Data Engineering. They will lead the creation and management of a Finance Data Lake, integrating multiple edge sources from inception.
Position Responsibilities
As a Staff Engineer, you will:
- Take ownership and drive the end-to-end execution of the Data Lakehouse for Finance Data, ensuring its effectiveness and reliability.
- Provide leadership to engineering teams, guiding multiple areas of focus.
- Oversee the entire lifecycle of solutions, from inception through maintenance.
- Collaborate with engineering leadership, team members, and stakeholders to solve complex challenges and build robust business applications.
- Ensure automation, quality, usability, and performance are central to all solutions.
- Lead design sessions and code reviews to elevate engineering standards.
- Utilize Python, SQL, NoSQL databases, and Container Orchestration services (e.g., Terraform, Docker, Kubernetes) along with Azure tools to develop an Event-Driven Big Data Streaming platform for ELT data pipelines.
- Mentor junior team members to foster their professional growth.
- Share best practices and improve processes across teams.
Qualifications
- Proficiency in at least two modern programming languages such as Java or Python, including object-oriented design and PowerShell scripting.
- Experience in architecting and designing scalable systems, including reliability and scaling considerations.
- Expertise in Event-Driven Big Data streaming infrastructure and ETL/ELT frameworks (e.g., Spark Streaming, Flink, Kafka, Hive, Airflow).
- Demonstrated ability in deploying highly robust and scalable data pipelines processing petabytes of data.
- Familiarity with Hadoop, SQL, and NoSQL platforms, as well as various file formats (Iceberg, Avro, JSON, Parquet).
- Fluency in DevOps concepts, Containerization, Test Automation, CI/CD, and Infrastructure as Code (e.g., GitHub, Kubernetes, Docker, Terraform, Helm, Ansible).
- Experience with Azure services (e.g., Azure DevOps, Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Storage).
- Proficiency in observability and monitoring platforms (e.g., Grafana, Azure Monitoring, AppInsights, Dynatrace).
- Experience in performance tuning for applications handling large datasets.
- Knowledge of Load Testing and Quality Assurance processes.
- Strong communication skills, both verbal and written.
Experience
- 6+ years of professional experience in data software development and big data technologies.
- 4+ years of experience with open-source frameworks.
- 3+ years of experience in system architecture and design.
- 3+ years of experience with AWS, GCP, Azure, or another cloud service.
Education
- Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience.
Salary Range
- Annual salary: $110,000.00 - $236,500.00 (Note: Salary to be determined based on candidate qualifications and other factors.)
Benefits
- Comprehensive Total Rewards Program including premier medical, dental, and vision insurance with no waiting period, paid vacation, sick leave, parental leave, 401(k) plan, tuition reimbursement, paid training, and licensures.
- Benefit eligibility varies by location and may depend on length of service.
Equal Employment Opportunity
We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability, or genetic information. Our hiring and promotion decisions are based solely on qualifications relevant to the job.
Employment Type: Full-Time
Salary: $ 110,000.00 230,000.00 Per Year
Source : Get It Recruit - Finance