AL
Data Engineer
Artech LLC
🇺🇸 United States
On-site
1 month ago
$80 – $100 / hour
- ELT
- ETL
- Snowflake
- Databricks
- NetSuite
- SOX
- Apache Spark
- PySpark
- SQL
- Data Modeling
- AWS
- Redshift
- Airflow
- dbt
1 month ago
Title:Data Engineer
Duration:06+ Months Contract
Location:New York, NY
Responsibilities:
- Design, build, and optimize scalable ELT/ETL pipelines ingesting banking and treasury data from Kyriba into Snowflake and Databricks.
- Develop and own canonical data models and schemas for cash positions, bank transactions, intercompany settlements, and reconciliation outputs.
- Architect data warehousing solutions ensuring seamless integration across cloud platforms and structured/unstructured data sources.
- Collaborate with business stakeholders to understand data needs and develop high-performance solutions.
- Build and maintain reconciliation logic that compares Kyriba source data against GL systems (NetSuite) and surfaces discrepancies for Finance Operations.
- Ensure pipelines operate with high availability, fault tolerance, and observability — including alerting, monitoring, and automated recovery.
- Drive performance tuning and optimization across Snowflake and Databricks environments to ensure efficiency at scale.
- Enforce data quality, governance, and security compliance while managing large datasets, including SOX-relevant audit trails and lineage tracking.
- Collaborate with Finance, Treasury, and accounting stakeholders to translate business reconciliation requirements into scalable data solutions.
- Work cross-functionally with data science and analytics teams to support ML/AI pipelines and feature engineering built on top of treasury and financial data.
- Stay current on emerging data technologies and recommend enhancements to existing architectures.
Qualifications:
- Data engineering experience building and maintaining production pipelines.
- Strong expertise in Databricks, Apache Spark (PySpark/SQL).
- Proven experience designing and managing data warehouses using Snowflake or equivalent cloud warehouse technologies.
- Deep understanding of data modeling, SQL, and performance optimization.
- Hands-on experience with AWS services — including S3, Glue, Lambda, and Redshift — for cloud-based data integration and pipeline orchestration.
- Experience implementing ETL/ELT processes using cloud-native orchestration tools (e.g., Airflow, dbt, or equivalent).
- Solid knowledge of real-time or near-real-time streaming technologies (Kafka, Spark Streaming, or similar).
- Familiarity with ML/AI data pipelines and feature engineering best practices — experience preparing and serving financial data for downstream models.
- Strong understanding of data quality, validation, and reconciliation patterns.
- Strong communication and collaboration skills with the ability to work directly with business stakeholders in a fast-paced enterprise environment.
- Ability to work independently and deliver with minimal direction.
Regards,
Ishika Sharma
Cell: 973.967.3386
Email:ishika.sharma@artech.com
Data Engineer · Artech LLC