Job Description

Job Description

Job Title: Sr Data Engineer

Type: Direct Hire Position

Location: Miami FL | Dallas, Texas

Referral Fee: +/- $1,000

Unfortunately, we are not able to sponsor work visas or accept candidates on temporary work authorizations (e.g., H1B, CPT, OPT, etc.) for this role.

Due to federal regulations and contractual requirements, we are only able to consider applications from U.S. Citizens and Green Card holders (permanent residents) and at this time we cannot sponsor or transfer a work visa. We are an equal opportunity employer and comply with all applicable laws regarding non-discrimination.

Company Overview:

The Senior Data Engineer will play a pivotal role in building and maintaining scalable, reliable, and high-performance data pipelines and enterprise analytics infrastructure. This role is ideal for someone who thrives in a collaborative environment, enjoys mentoring others, and wants to drive innovation in data engineering across the organization.

Your Responsibilities on the Team

• Lead the design and implementation of scalable, high-performance data architectures that support diverse data sources, including structured, semi-structured, and unstructured data.
• Architect and build data pipelines that can process and analyze large-scale datasets in real-time and batch modes.
• Mentor and guide junior data engineers in best practices, code quality, and technical skills, fostering a culture of continuous learning.
• Ensure the reliability, efficiency, and security of data pipelines by implementing monitoring, alerting, and automated recovery mechanisms.
• Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to align data solutions with business needs and goals.
• Lead the adoption of new technologies and tools that enhance the data engineering capabilities of the team.
• Oversee the development of data models, schemas, and data marts that enable efficient data analysis and reporting.
• Implement data governance frameworks, including data lineage, metadata management, and data quality standards.

Your Toolbox

• Bachelor's degree in Computer Science, Information Technology, Management Information Systems, or a related field.
• 6+ years of experience in data engineering or a related role, with demonstrated success in delivering enterprise-scale data solutions.
• Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning.
• Experience with cloud data warehouses like Snowflake, Databricks, and understanding of their appropriate use cases.
• Strong programming skills in Python or Java, with experience in data processing frameworks (e.g., Apache Spark, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) and administration, such as AWS Redshift, Azure Synapse, or Google BigQuery.
• Proficiency with big data technologies, including Hadoop, Spark, Kafka, and HBase, with experience in distributed data processing.
• Expertise with data orchestration tools, such as MWAA/Airflow, for scheduling and managing data workflows.
• Experience with reporting tools such as Power BI and Tableau is a plus.
• Understanding of data security practices, including encryption, access controls, and data masking.
• Familiarity with cloud administration tools and frameworks such as AWS, dbt, Qlik Replicate, Tableau, and Snowflake is preferred.

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