Analytics Engineer | Mid | Saily

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Analytics Engineer | Mid | Saily Vilnius, Lithuania, Kaunas At Saily, we're removing the hassle from getting secure data plans while traveling. No roaming charges, no plastic SIM cards. Just fast, secure mobile data in 200+ countries. Join the team behind Lonely Planet's #1 eSIM-built for explorers, powered by NordVPN. Your impact? Helping people stay securely connected, wherever they go. As an Analytics Engineer, you will work with one of fastest growing Saily products from the Nord Security family. That includes designing, building, and operating data pipelines that teams rely on to optimize marketing performance and decision-making. Main responsibilities - Own and develop our dbt project: build, maintain, and optimize core data models and pipelines across the business domain - Communicate with developers, shareholders, and data analysts to address their needs - Prepare documentation and best practices for data modeling - Share your ideas and help with various projects - Together with the data team, deliver quality data-driven solutions Core requirements - 2+ years of experience as an Analytics Engineer/Data Engineer or similar Data role - Experience with maintaining ETL/ELT pipelines and data modeling - Proficient in SQL and Python - Experience using data transformation tools (dbt, dataform, etc.) - Experience using cloud data warehouses (BigQuery, Snowflake, etc.) Fluency in English. Bonus Points For - Experience with job orchestration tools (Airflow, Dagster, Prefect, etc.) is a plus - Experience with data ingestion tools (Airbyte, Meltano, Fivetran, etc.) is a plus - Experience with any BI/visualization tools (Grafana, Looker, Metabase, etc.)

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